Upload full trainer checkpoint step=1466 (profile=llama3_2_1b_base, run_type=sft)
Browse files- .gitattributes +1 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/README.md +210 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/adapter_config.json +50 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/adapter_model.safetensors +3 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/chat_template.jinja +12 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/optimizer.pt +3 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/rng_state.pth +3 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/scheduler.pt +3 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer.json +3 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer_config.json +18 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/trainer_state.json +2101 -0
- meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/training_args.bin +3 -0
- meta-llama__llama-3.2-1b/sft/run_manifest.json +25 -0
.gitattributes
CHANGED
|
@@ -64,3 +64,4 @@ meta-llama__llama-3.2-1b/epoch_0003/tokenizer.json filter=lfs diff=lfs merge=lfs
|
|
| 64 |
meta-llama__llama-3.2-1b/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
meta-llama__llama-3.2-1b/epoch_0005/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
meta-llama__llama-3.2-1b/epoch_0006/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 64 |
meta-llama__llama-3.2-1b/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
meta-llama__llama-3.2-1b/epoch_0005/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
meta-llama__llama-3.2-1b/epoch_0006/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/Llama-3.2-1B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/Llama-3.2-1B
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/adapter_config.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "LlamaForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.llama.modeling_llama",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/Llama-3.2-1B",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 16,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.0,
|
| 26 |
+
"megatron_config": null,
|
| 27 |
+
"megatron_core": "megatron.core",
|
| 28 |
+
"modules_to_save": null,
|
| 29 |
+
"peft_type": "LORA",
|
| 30 |
+
"peft_version": "0.18.1",
|
| 31 |
+
"qalora_group_size": 16,
|
| 32 |
+
"r": 16,
|
| 33 |
+
"rank_pattern": {},
|
| 34 |
+
"revision": null,
|
| 35 |
+
"target_modules": [
|
| 36 |
+
"q_proj",
|
| 37 |
+
"k_proj",
|
| 38 |
+
"gate_proj",
|
| 39 |
+
"o_proj",
|
| 40 |
+
"down_proj",
|
| 41 |
+
"v_proj",
|
| 42 |
+
"up_proj"
|
| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false
|
| 50 |
+
}
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8905a6c2198f3eeb51bacd845709c1a9bd7773d97ab4ef76c686db7bbe522801
|
| 3 |
+
size 45118424
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/chat_template.jinja
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + '
|
| 2 |
+
|
| 3 |
+
' }}{% set loop_messages = messages[1:] %}{% else %}{{ '' + '
|
| 4 |
+
|
| 5 |
+
' }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '### Instruction:
|
| 6 |
+
' + message['content'] + '
|
| 7 |
+
|
| 8 |
+
' }}{% elif message['role'] == 'assistant' %}{{ '### Response:
|
| 9 |
+
' + message['content'] + eos_token + '
|
| 10 |
+
|
| 11 |
+
' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '### Response:
|
| 12 |
+
' }}{% endif %}
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e48227cdedb276b8390f527946f0087285f2308d084b490a19592e6bf7541ff4
|
| 3 |
+
size 23162187
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ccb8eeb935749fc43744e0a5eeacdf6f0f10253be15266a497cbca0ffaa2573
|
| 3 |
+
size 14645
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:adf5bf1180c4073f3c778c1ab49bbe225838d3c7885b46f176a1b30b405c7f03
|
| 3 |
+
size 1465
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
| 3 |
+
size 17209920
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/tokenizer_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|begin_of_text|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|end_of_text|>",
|
| 6 |
+
"from_slow": true,
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"legacy": false,
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
+
"model_max_length": 131072,
|
| 14 |
+
"pad_token": "<|finetune_right_pad_id|>",
|
| 15 |
+
"padding_side": "right",
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"unk_token": null
|
| 18 |
+
}
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/trainer_state.json
ADDED
|
@@ -0,0 +1,2101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.24995737425404946,
|
| 6 |
+
"eval_steps": 1466,
|
| 7 |
+
"global_step": 1466,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0008525149190110827,
|
| 14 |
+
"grad_norm": 0.8702483177185059,
|
| 15 |
+
"learning_rate": 6.382978723404255e-07,
|
| 16 |
+
"loss": 0.7270183563232422,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0017050298380221654,
|
| 21 |
+
"grad_norm": 0.8312188982963562,
|
| 22 |
+
"learning_rate": 1.4361702127659573e-06,
|
| 23 |
+
"loss": 0.7593235015869141,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.0025575447570332483,
|
| 28 |
+
"grad_norm": 0.9371886253356934,
|
| 29 |
+
"learning_rate": 2.2340425531914894e-06,
|
| 30 |
+
"loss": 0.7415130615234375,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.0034100596760443308,
|
| 35 |
+
"grad_norm": 0.8715710043907166,
|
| 36 |
+
"learning_rate": 3.0319148936170214e-06,
|
| 37 |
+
"loss": 0.7387494087219239,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.004262574595055414,
|
| 42 |
+
"grad_norm": 0.869061291217804,
|
| 43 |
+
"learning_rate": 3.829787234042553e-06,
|
| 44 |
+
"loss": 0.732928466796875,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.005115089514066497,
|
| 49 |
+
"grad_norm": 0.9074509143829346,
|
| 50 |
+
"learning_rate": 4.627659574468085e-06,
|
| 51 |
+
"loss": 0.7359912872314454,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.005967604433077579,
|
| 56 |
+
"grad_norm": 1.0012825727462769,
|
| 57 |
+
"learning_rate": 5.425531914893616e-06,
|
| 58 |
+
"loss": 0.6921219825744629,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.0068201193520886615,
|
| 63 |
+
"grad_norm": 0.9422137141227722,
|
| 64 |
+
"learning_rate": 6.223404255319148e-06,
|
| 65 |
+
"loss": 0.6865067958831788,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.0076726342710997444,
|
| 70 |
+
"grad_norm": 0.9773287773132324,
|
| 71 |
+
"learning_rate": 7.02127659574468e-06,
|
| 72 |
+
"loss": 0.6299760341644287,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.008525149190110827,
|
| 77 |
+
"grad_norm": 1.1514697074890137,
|
| 78 |
+
"learning_rate": 7.819148936170211e-06,
|
| 79 |
+
"loss": 0.6246551513671875,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.00937766410912191,
|
| 84 |
+
"grad_norm": 1.1929924488067627,
|
| 85 |
+
"learning_rate": 8.617021276595744e-06,
|
| 86 |
+
"loss": 0.5671340942382812,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.010230179028132993,
|
| 91 |
+
"grad_norm": 1.2087507247924805,
|
| 92 |
+
"learning_rate": 9.414893617021275e-06,
|
| 93 |
+
"loss": 0.466497802734375,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.011082693947144074,
|
| 98 |
+
"grad_norm": 1.3783831596374512,
|
| 99 |
+
"learning_rate": 1.0212765957446808e-05,
|
| 100 |
+
"loss": 0.3536498546600342,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.011935208866155157,
|
| 105 |
+
"grad_norm": 0.7981624007225037,
|
| 106 |
+
"learning_rate": 1.101063829787234e-05,
|
| 107 |
+
"loss": 0.22803339958190919,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.01278772378516624,
|
| 112 |
+
"grad_norm": 0.3521866798400879,
|
| 113 |
+
"learning_rate": 1.1808510638297872e-05,
|
| 114 |
+
"loss": 0.1623826026916504,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.013640238704177323,
|
| 119 |
+
"grad_norm": 0.27423161268234253,
|
| 120 |
+
"learning_rate": 1.2606382978723403e-05,
|
| 121 |
+
"loss": 0.1479944944381714,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.014492753623188406,
|
| 126 |
+
"grad_norm": 0.2307504117488861,
|
| 127 |
+
"learning_rate": 1.3404255319148936e-05,
|
| 128 |
+
"loss": 0.13179465532302856,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.015345268542199489,
|
| 133 |
+
"grad_norm": 0.2505638301372528,
|
| 134 |
+
"learning_rate": 1.4202127659574466e-05,
|
| 135 |
+
"loss": 0.12060884237289429,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.01619778346121057,
|
| 140 |
+
"grad_norm": 0.23193876445293427,
|
| 141 |
+
"learning_rate": 1.4999999999999999e-05,
|
| 142 |
+
"loss": 0.10533099174499512,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.017050298380221655,
|
| 147 |
+
"grad_norm": 0.2267618179321289,
|
| 148 |
+
"learning_rate": 1.579787234042553e-05,
|
| 149 |
+
"loss": 0.11999905109405518,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.017902813299232736,
|
| 154 |
+
"grad_norm": 0.22980229556560516,
|
| 155 |
+
"learning_rate": 1.659574468085106e-05,
|
| 156 |
+
"loss": 0.10567227602005005,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.01875532821824382,
|
| 161 |
+
"grad_norm": 0.2573573589324951,
|
| 162 |
+
"learning_rate": 1.7393617021276596e-05,
|
| 163 |
+
"loss": 0.09509810209274291,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.0196078431372549,
|
| 168 |
+
"grad_norm": 0.22669287025928497,
|
| 169 |
+
"learning_rate": 1.8191489361702127e-05,
|
| 170 |
+
"loss": 0.09332407712936401,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.020460358056265986,
|
| 175 |
+
"grad_norm": 0.2708875834941864,
|
| 176 |
+
"learning_rate": 1.8989361702127655e-05,
|
| 177 |
+
"loss": 0.09526345729827881,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.021312872975277068,
|
| 182 |
+
"grad_norm": 0.2242223024368286,
|
| 183 |
+
"learning_rate": 1.978723404255319e-05,
|
| 184 |
+
"loss": 0.09162800312042237,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.02216538789428815,
|
| 189 |
+
"grad_norm": 0.28643250465393066,
|
| 190 |
+
"learning_rate": 2.0585106382978724e-05,
|
| 191 |
+
"loss": 0.08713340759277344,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.023017902813299233,
|
| 196 |
+
"grad_norm": 0.2659653425216675,
|
| 197 |
+
"learning_rate": 2.1382978723404255e-05,
|
| 198 |
+
"loss": 0.08405932188034057,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.023870417732310314,
|
| 203 |
+
"grad_norm": 0.23080135881900787,
|
| 204 |
+
"learning_rate": 2.2180851063829783e-05,
|
| 205 |
+
"loss": 0.07873657941818238,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.0247229326513214,
|
| 210 |
+
"grad_norm": 0.21435977518558502,
|
| 211 |
+
"learning_rate": 2.2978723404255317e-05,
|
| 212 |
+
"loss": 0.06758193373680114,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.02557544757033248,
|
| 217 |
+
"grad_norm": 0.20372840762138367,
|
| 218 |
+
"learning_rate": 2.377659574468085e-05,
|
| 219 |
+
"loss": 0.06967071890830993,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.026427962489343565,
|
| 224 |
+
"grad_norm": 0.20348776876926422,
|
| 225 |
+
"learning_rate": 2.457446808510638e-05,
|
| 226 |
+
"loss": 0.0636233150959015,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.027280477408354646,
|
| 231 |
+
"grad_norm": 0.21693550050258636,
|
| 232 |
+
"learning_rate": 2.537234042553191e-05,
|
| 233 |
+
"loss": 0.0691483736038208,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.028132992327365727,
|
| 238 |
+
"grad_norm": 0.2008240669965744,
|
| 239 |
+
"learning_rate": 2.6170212765957446e-05,
|
| 240 |
+
"loss": 0.05855585932731629,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.028985507246376812,
|
| 245 |
+
"grad_norm": 0.22839540243148804,
|
| 246 |
+
"learning_rate": 2.6968085106382977e-05,
|
| 247 |
+
"loss": 0.06012563109397888,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.029838022165387893,
|
| 252 |
+
"grad_norm": 0.20269300043582916,
|
| 253 |
+
"learning_rate": 2.7765957446808508e-05,
|
| 254 |
+
"loss": 0.054646140336990355,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.030690537084398978,
|
| 259 |
+
"grad_norm": 0.25422361493110657,
|
| 260 |
+
"learning_rate": 2.856382978723404e-05,
|
| 261 |
+
"loss": 0.06128175258636474,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.03154305200341006,
|
| 266 |
+
"grad_norm": 0.1701997071504593,
|
| 267 |
+
"learning_rate": 2.9361702127659574e-05,
|
| 268 |
+
"loss": 0.05077495574951172,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.03239556692242114,
|
| 273 |
+
"grad_norm": 0.2417565882205963,
|
| 274 |
+
"learning_rate": 3.0159574468085105e-05,
|
| 275 |
+
"loss": 0.04601706862449646,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.03324808184143223,
|
| 280 |
+
"grad_norm": 0.2608591318130493,
|
| 281 |
+
"learning_rate": 3.0957446808510636e-05,
|
| 282 |
+
"loss": 0.05892879366874695,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.03410059676044331,
|
| 287 |
+
"grad_norm": 0.2680520713329315,
|
| 288 |
+
"learning_rate": 3.175531914893617e-05,
|
| 289 |
+
"loss": 0.047013303637504576,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.03495311167945439,
|
| 294 |
+
"grad_norm": 0.22654250264167786,
|
| 295 |
+
"learning_rate": 3.25531914893617e-05,
|
| 296 |
+
"loss": 0.05578266978263855,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.03580562659846547,
|
| 301 |
+
"grad_norm": 0.23171734809875488,
|
| 302 |
+
"learning_rate": 3.3351063829787226e-05,
|
| 303 |
+
"loss": 0.04092026948928833,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.03665814151747655,
|
| 308 |
+
"grad_norm": 0.3024536669254303,
|
| 309 |
+
"learning_rate": 3.414893617021276e-05,
|
| 310 |
+
"loss": 0.048113960027694705,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.03751065643648764,
|
| 315 |
+
"grad_norm": 0.21944984793663025,
|
| 316 |
+
"learning_rate": 3.4946808510638296e-05,
|
| 317 |
+
"loss": 0.06023481488227844,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.03836317135549872,
|
| 322 |
+
"grad_norm": 0.21161283552646637,
|
| 323 |
+
"learning_rate": 3.574468085106383e-05,
|
| 324 |
+
"loss": 0.04402200579643249,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.0392156862745098,
|
| 329 |
+
"grad_norm": 0.22785748541355133,
|
| 330 |
+
"learning_rate": 3.654255319148936e-05,
|
| 331 |
+
"loss": 0.04179250001907349,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.040068201193520885,
|
| 336 |
+
"grad_norm": 0.25685593485832214,
|
| 337 |
+
"learning_rate": 3.734042553191489e-05,
|
| 338 |
+
"loss": 0.04237877726554871,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.04092071611253197,
|
| 343 |
+
"grad_norm": 0.2640145421028137,
|
| 344 |
+
"learning_rate": 3.813829787234042e-05,
|
| 345 |
+
"loss": 0.050156861543655396,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.041773231031543054,
|
| 350 |
+
"grad_norm": 0.2713942229747772,
|
| 351 |
+
"learning_rate": 3.8936170212765955e-05,
|
| 352 |
+
"loss": 0.0409070074558258,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.042625745950554135,
|
| 357 |
+
"grad_norm": 0.23422108590602875,
|
| 358 |
+
"learning_rate": 3.973404255319149e-05,
|
| 359 |
+
"loss": 0.0364731103181839,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.043478260869565216,
|
| 364 |
+
"grad_norm": 0.19113923609256744,
|
| 365 |
+
"learning_rate": 4.053191489361702e-05,
|
| 366 |
+
"loss": 0.037750616669654846,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.0443307757885763,
|
| 371 |
+
"grad_norm": 0.24328471720218658,
|
| 372 |
+
"learning_rate": 4.1329787234042545e-05,
|
| 373 |
+
"loss": 0.0389731228351593,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.045183290707587385,
|
| 378 |
+
"grad_norm": 0.15357369184494019,
|
| 379 |
+
"learning_rate": 4.2127659574468086e-05,
|
| 380 |
+
"loss": 0.0336186945438385,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.04603580562659847,
|
| 385 |
+
"grad_norm": 0.24376599490642548,
|
| 386 |
+
"learning_rate": 4.2925531914893614e-05,
|
| 387 |
+
"loss": 0.03668908774852753,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.04688832054560955,
|
| 392 |
+
"grad_norm": 0.29594436287879944,
|
| 393 |
+
"learning_rate": 4.372340425531914e-05,
|
| 394 |
+
"loss": 0.04451665282249451,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.04774083546462063,
|
| 399 |
+
"grad_norm": 0.19453556835651398,
|
| 400 |
+
"learning_rate": 4.452127659574468e-05,
|
| 401 |
+
"loss": 0.03592076897621155,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.04859335038363171,
|
| 406 |
+
"grad_norm": 0.2916566729545593,
|
| 407 |
+
"learning_rate": 4.5319148936170204e-05,
|
| 408 |
+
"loss": 0.039958652853965757,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.0494458653026428,
|
| 413 |
+
"grad_norm": 0.21568676829338074,
|
| 414 |
+
"learning_rate": 4.6117021276595746e-05,
|
| 415 |
+
"loss": 0.03157965838909149,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.05029838022165388,
|
| 420 |
+
"grad_norm": 0.26071974635124207,
|
| 421 |
+
"learning_rate": 4.6914893617021274e-05,
|
| 422 |
+
"loss": 0.04068298935890198,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.05115089514066496,
|
| 427 |
+
"grad_norm": 0.3324560225009918,
|
| 428 |
+
"learning_rate": 4.77127659574468e-05,
|
| 429 |
+
"loss": 0.03286807537078858,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.05200341005967604,
|
| 434 |
+
"grad_norm": 0.28684696555137634,
|
| 435 |
+
"learning_rate": 4.851063829787234e-05,
|
| 436 |
+
"loss": 0.040812617540359496,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.05285592497868713,
|
| 441 |
+
"grad_norm": 0.23505407571792603,
|
| 442 |
+
"learning_rate": 4.930851063829787e-05,
|
| 443 |
+
"loss": 0.031041297316551208,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.05370843989769821,
|
| 448 |
+
"grad_norm": 0.16107261180877686,
|
| 449 |
+
"learning_rate": 5.01063829787234e-05,
|
| 450 |
+
"loss": 0.02798473834991455,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.05456095481670929,
|
| 455 |
+
"grad_norm": 0.26245057582855225,
|
| 456 |
+
"learning_rate": 5.090425531914893e-05,
|
| 457 |
+
"loss": 0.029034197330474854,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.05541346973572037,
|
| 462 |
+
"grad_norm": 0.28591933846473694,
|
| 463 |
+
"learning_rate": 5.170212765957446e-05,
|
| 464 |
+
"loss": 0.03308171033859253,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.056265984654731455,
|
| 469 |
+
"grad_norm": 0.24634616076946259,
|
| 470 |
+
"learning_rate": 5.2499999999999995e-05,
|
| 471 |
+
"loss": 0.02535790503025055,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.05711849957374254,
|
| 476 |
+
"grad_norm": 0.28306257724761963,
|
| 477 |
+
"learning_rate": 5.329787234042553e-05,
|
| 478 |
+
"loss": 0.031932130455970764,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.057971014492753624,
|
| 483 |
+
"grad_norm": 0.22408922016620636,
|
| 484 |
+
"learning_rate": 5.409574468085106e-05,
|
| 485 |
+
"loss": 0.0343563050031662,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.058823529411764705,
|
| 490 |
+
"grad_norm": 0.3133672773838043,
|
| 491 |
+
"learning_rate": 5.4893617021276586e-05,
|
| 492 |
+
"loss": 0.03774818181991577,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.059676044330775786,
|
| 497 |
+
"grad_norm": 0.33814433217048645,
|
| 498 |
+
"learning_rate": 5.569148936170213e-05,
|
| 499 |
+
"loss": 0.03156721591949463,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.060528559249786874,
|
| 504 |
+
"grad_norm": 0.17259150743484497,
|
| 505 |
+
"learning_rate": 5.6489361702127655e-05,
|
| 506 |
+
"loss": 0.028145447373390198,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.061381074168797956,
|
| 511 |
+
"grad_norm": 0.25732940435409546,
|
| 512 |
+
"learning_rate": 5.728723404255319e-05,
|
| 513 |
+
"loss": 0.037197616696357724,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.06223358908780904,
|
| 518 |
+
"grad_norm": 0.22246433794498444,
|
| 519 |
+
"learning_rate": 5.808510638297872e-05,
|
| 520 |
+
"loss": 0.02986128032207489,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.06308610400682012,
|
| 525 |
+
"grad_norm": 0.3112792372703552,
|
| 526 |
+
"learning_rate": 5.8882978723404245e-05,
|
| 527 |
+
"loss": 0.03034401834011078,
|
| 528 |
+
"step": 370
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.0639386189258312,
|
| 532 |
+
"grad_norm": 0.2766200006008148,
|
| 533 |
+
"learning_rate": 5.9680851063829786e-05,
|
| 534 |
+
"loss": 0.03152766227722168,
|
| 535 |
+
"step": 375
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.06479113384484228,
|
| 539 |
+
"grad_norm": 0.2531411945819855,
|
| 540 |
+
"learning_rate": 6.0478723404255314e-05,
|
| 541 |
+
"loss": 0.031791338324546815,
|
| 542 |
+
"step": 380
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.06564364876385337,
|
| 546 |
+
"grad_norm": 0.29931405186653137,
|
| 547 |
+
"learning_rate": 6.127659574468084e-05,
|
| 548 |
+
"loss": 0.028663474321365356,
|
| 549 |
+
"step": 385
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.06649616368286446,
|
| 553 |
+
"grad_norm": 0.2471776157617569,
|
| 554 |
+
"learning_rate": 6.207446808510638e-05,
|
| 555 |
+
"loss": 0.03083355724811554,
|
| 556 |
+
"step": 390
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.06734867860187553,
|
| 560 |
+
"grad_norm": 0.23945043981075287,
|
| 561 |
+
"learning_rate": 6.287234042553191e-05,
|
| 562 |
+
"loss": 0.030578643083572388,
|
| 563 |
+
"step": 395
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.06820119352088662,
|
| 567 |
+
"grad_norm": 0.30501049757003784,
|
| 568 |
+
"learning_rate": 6.367021276595743e-05,
|
| 569 |
+
"loss": 0.029327672719955445,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.06905370843989769,
|
| 574 |
+
"grad_norm": 0.2621583044528961,
|
| 575 |
+
"learning_rate": 6.446808510638298e-05,
|
| 576 |
+
"loss": 0.030047428607940675,
|
| 577 |
+
"step": 405
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.06990622335890878,
|
| 581 |
+
"grad_norm": 0.29637840390205383,
|
| 582 |
+
"learning_rate": 6.52659574468085e-05,
|
| 583 |
+
"loss": 0.032990914583206174,
|
| 584 |
+
"step": 410
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.07075873827791987,
|
| 588 |
+
"grad_norm": 0.2790025472640991,
|
| 589 |
+
"learning_rate": 6.606382978723404e-05,
|
| 590 |
+
"loss": 0.02616017162799835,
|
| 591 |
+
"step": 415
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.07161125319693094,
|
| 595 |
+
"grad_norm": 0.2781897783279419,
|
| 596 |
+
"learning_rate": 6.686170212765957e-05,
|
| 597 |
+
"loss": 0.025333160161972047,
|
| 598 |
+
"step": 420
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.07246376811594203,
|
| 602 |
+
"grad_norm": 0.26609721779823303,
|
| 603 |
+
"learning_rate": 6.765957446808509e-05,
|
| 604 |
+
"loss": 0.024090659618377686,
|
| 605 |
+
"step": 425
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.0733162830349531,
|
| 609 |
+
"grad_norm": 0.22948430478572845,
|
| 610 |
+
"learning_rate": 6.845744680851064e-05,
|
| 611 |
+
"loss": 0.030253008008003235,
|
| 612 |
+
"step": 430
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.0741687979539642,
|
| 616 |
+
"grad_norm": 0.21689315140247345,
|
| 617 |
+
"learning_rate": 6.925531914893616e-05,
|
| 618 |
+
"loss": 0.02709486484527588,
|
| 619 |
+
"step": 435
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.07502131287297528,
|
| 623 |
+
"grad_norm": 0.27341127395629883,
|
| 624 |
+
"learning_rate": 7.00531914893617e-05,
|
| 625 |
+
"loss": 0.02555806338787079,
|
| 626 |
+
"step": 440
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.07587382779198636,
|
| 630 |
+
"grad_norm": 0.3059982359409332,
|
| 631 |
+
"learning_rate": 7.085106382978723e-05,
|
| 632 |
+
"loss": 0.02590309679508209,
|
| 633 |
+
"step": 445
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.07672634271099744,
|
| 637 |
+
"grad_norm": 0.29078978300094604,
|
| 638 |
+
"learning_rate": 7.164893617021276e-05,
|
| 639 |
+
"loss": 0.03434495031833649,
|
| 640 |
+
"step": 450
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.07757885763000852,
|
| 644 |
+
"grad_norm": 0.1730230152606964,
|
| 645 |
+
"learning_rate": 7.244680851063829e-05,
|
| 646 |
+
"loss": 0.027434590458869933,
|
| 647 |
+
"step": 455
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.0784313725490196,
|
| 651 |
+
"grad_norm": 0.23046822845935822,
|
| 652 |
+
"learning_rate": 7.324468085106382e-05,
|
| 653 |
+
"loss": 0.024511393904685975,
|
| 654 |
+
"step": 460
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.0792838874680307,
|
| 658 |
+
"grad_norm": 0.21193982660770416,
|
| 659 |
+
"learning_rate": 7.404255319148935e-05,
|
| 660 |
+
"loss": 0.028409674763679504,
|
| 661 |
+
"step": 465
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.08013640238704177,
|
| 665 |
+
"grad_norm": 0.14851854741573334,
|
| 666 |
+
"learning_rate": 7.484042553191489e-05,
|
| 667 |
+
"loss": 0.022292758524417877,
|
| 668 |
+
"step": 470
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.08098891730605286,
|
| 672 |
+
"grad_norm": 0.2605791985988617,
|
| 673 |
+
"learning_rate": 7.499999439800074e-05,
|
| 674 |
+
"loss": 0.021705128252506256,
|
| 675 |
+
"step": 475
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.08184143222506395,
|
| 679 |
+
"grad_norm": 0.3485381603240967,
|
| 680 |
+
"learning_rate": 7.499997163988164e-05,
|
| 681 |
+
"loss": 0.027302873134613038,
|
| 682 |
+
"step": 480
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.08269394714407502,
|
| 686 |
+
"grad_norm": 0.2511079013347626,
|
| 687 |
+
"learning_rate": 7.499993137552834e-05,
|
| 688 |
+
"loss": 0.022480341792106628,
|
| 689 |
+
"step": 485
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.08354646206308611,
|
| 693 |
+
"grad_norm": 0.23074299097061157,
|
| 694 |
+
"learning_rate": 7.499987360495964e-05,
|
| 695 |
+
"loss": 0.032788214087486264,
|
| 696 |
+
"step": 490
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.08439897698209718,
|
| 700 |
+
"grad_norm": 0.2591882348060608,
|
| 701 |
+
"learning_rate": 7.499979832820255e-05,
|
| 702 |
+
"loss": 0.030076757073402405,
|
| 703 |
+
"step": 495
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.08525149190110827,
|
| 707 |
+
"grad_norm": 0.17042620480060577,
|
| 708 |
+
"learning_rate": 7.499970554529216e-05,
|
| 709 |
+
"loss": 0.023710650205612183,
|
| 710 |
+
"step": 500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.08610400682011936,
|
| 714 |
+
"grad_norm": 0.2072867602109909,
|
| 715 |
+
"learning_rate": 7.49995952562718e-05,
|
| 716 |
+
"loss": 0.02641989290714264,
|
| 717 |
+
"step": 505
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.08695652173913043,
|
| 721 |
+
"grad_norm": 0.22865015268325806,
|
| 722 |
+
"learning_rate": 7.499946746119296e-05,
|
| 723 |
+
"loss": 0.026545605063438414,
|
| 724 |
+
"step": 510
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.08780903665814152,
|
| 728 |
+
"grad_norm": 0.18163245916366577,
|
| 729 |
+
"learning_rate": 7.499932216011531e-05,
|
| 730 |
+
"loss": 0.022438524663448332,
|
| 731 |
+
"step": 515
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.0886615515771526,
|
| 735 |
+
"grad_norm": 0.21268488466739655,
|
| 736 |
+
"learning_rate": 7.499915935310667e-05,
|
| 737 |
+
"loss": 0.02982390522956848,
|
| 738 |
+
"step": 520
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.08951406649616368,
|
| 742 |
+
"grad_norm": 0.28650423884391785,
|
| 743 |
+
"learning_rate": 7.499897904024303e-05,
|
| 744 |
+
"loss": 0.02888711094856262,
|
| 745 |
+
"step": 525
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.09036658141517477,
|
| 749 |
+
"grad_norm": 0.17938083410263062,
|
| 750 |
+
"learning_rate": 7.499878122160858e-05,
|
| 751 |
+
"loss": 0.025293585658073426,
|
| 752 |
+
"step": 530
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.09121909633418585,
|
| 756 |
+
"grad_norm": 0.21884122490882874,
|
| 757 |
+
"learning_rate": 7.499856589729569e-05,
|
| 758 |
+
"loss": 0.029227742552757265,
|
| 759 |
+
"step": 535
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.09207161125319693,
|
| 763 |
+
"grad_norm": 0.24997380375862122,
|
| 764 |
+
"learning_rate": 7.499833306740485e-05,
|
| 765 |
+
"loss": 0.026770782470703126,
|
| 766 |
+
"step": 540
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.09292412617220801,
|
| 770 |
+
"grad_norm": 0.1759740710258484,
|
| 771 |
+
"learning_rate": 7.499808273204476e-05,
|
| 772 |
+
"loss": 0.020788520574569702,
|
| 773 |
+
"step": 545
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.0937766410912191,
|
| 777 |
+
"grad_norm": 0.21122577786445618,
|
| 778 |
+
"learning_rate": 7.499781489133228e-05,
|
| 779 |
+
"loss": 0.02833372950553894,
|
| 780 |
+
"step": 550
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.09462915601023018,
|
| 784 |
+
"grad_norm": 0.17823946475982666,
|
| 785 |
+
"learning_rate": 7.499752954539245e-05,
|
| 786 |
+
"loss": 0.02394527941942215,
|
| 787 |
+
"step": 555
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.09548167092924126,
|
| 791 |
+
"grad_norm": 0.22122310101985931,
|
| 792 |
+
"learning_rate": 7.49972266943585e-05,
|
| 793 |
+
"loss": 0.022127175331115724,
|
| 794 |
+
"step": 560
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.09633418584825235,
|
| 798 |
+
"grad_norm": 0.25811049342155457,
|
| 799 |
+
"learning_rate": 7.499690633837178e-05,
|
| 800 |
+
"loss": 0.024325409531593324,
|
| 801 |
+
"step": 565
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.09718670076726342,
|
| 805 |
+
"grad_norm": 0.22042953968048096,
|
| 806 |
+
"learning_rate": 7.499656847758187e-05,
|
| 807 |
+
"loss": 0.02605798840522766,
|
| 808 |
+
"step": 570
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.09803921568627451,
|
| 812 |
+
"grad_norm": 0.2860932946205139,
|
| 813 |
+
"learning_rate": 7.499621311214646e-05,
|
| 814 |
+
"loss": 0.026523932814598083,
|
| 815 |
+
"step": 575
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.0988917306052856,
|
| 819 |
+
"grad_norm": 0.1485099345445633,
|
| 820 |
+
"learning_rate": 7.499584024223149e-05,
|
| 821 |
+
"loss": 0.02095140814781189,
|
| 822 |
+
"step": 580
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.09974424552429667,
|
| 826 |
+
"grad_norm": 0.19851070642471313,
|
| 827 |
+
"learning_rate": 7.499544986801099e-05,
|
| 828 |
+
"loss": 0.02706519663333893,
|
| 829 |
+
"step": 585
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.10059676044330776,
|
| 833 |
+
"grad_norm": 0.25508561730384827,
|
| 834 |
+
"learning_rate": 7.499504198966722e-05,
|
| 835 |
+
"loss": 0.024473744630813598,
|
| 836 |
+
"step": 590
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.10144927536231885,
|
| 840 |
+
"grad_norm": 0.17818157374858856,
|
| 841 |
+
"learning_rate": 7.499461660739059e-05,
|
| 842 |
+
"loss": 0.026624396443367004,
|
| 843 |
+
"step": 595
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.10230179028132992,
|
| 847 |
+
"grad_norm": 0.16915369033813477,
|
| 848 |
+
"learning_rate": 7.499417372137968e-05,
|
| 849 |
+
"loss": 0.02158043682575226,
|
| 850 |
+
"step": 600
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.10315430520034101,
|
| 854 |
+
"grad_norm": 0.19104211032390594,
|
| 855 |
+
"learning_rate": 7.499371333184125e-05,
|
| 856 |
+
"loss": 0.02661653459072113,
|
| 857 |
+
"step": 605
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.10400682011935208,
|
| 861 |
+
"grad_norm": 0.19765061140060425,
|
| 862 |
+
"learning_rate": 7.49932354389902e-05,
|
| 863 |
+
"loss": 0.02049233466386795,
|
| 864 |
+
"step": 610
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.10485933503836317,
|
| 868 |
+
"grad_norm": 0.20652534067630768,
|
| 869 |
+
"learning_rate": 7.499274004304964e-05,
|
| 870 |
+
"loss": 0.026903703808784485,
|
| 871 |
+
"step": 615
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.10571184995737426,
|
| 875 |
+
"grad_norm": 0.19068656861782074,
|
| 876 |
+
"learning_rate": 7.499222714425087e-05,
|
| 877 |
+
"loss": 0.02817963659763336,
|
| 878 |
+
"step": 620
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.10656436487638533,
|
| 882 |
+
"grad_norm": 0.2244884967803955,
|
| 883 |
+
"learning_rate": 7.499169674283328e-05,
|
| 884 |
+
"loss": 0.022825565934181214,
|
| 885 |
+
"step": 625
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.10741687979539642,
|
| 889 |
+
"grad_norm": 0.15769504010677338,
|
| 890 |
+
"learning_rate": 7.499114883904451e-05,
|
| 891 |
+
"loss": 0.023618267476558687,
|
| 892 |
+
"step": 630
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.1082693947144075,
|
| 896 |
+
"grad_norm": 0.2758719325065613,
|
| 897 |
+
"learning_rate": 7.499058343314031e-05,
|
| 898 |
+
"loss": 0.027484145760536195,
|
| 899 |
+
"step": 635
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.10912190963341858,
|
| 903 |
+
"grad_norm": 0.14344681799411774,
|
| 904 |
+
"learning_rate": 7.499000052538467e-05,
|
| 905 |
+
"loss": 0.02188411056995392,
|
| 906 |
+
"step": 640
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.10997442455242967,
|
| 910 |
+
"grad_norm": 0.21053647994995117,
|
| 911 |
+
"learning_rate": 7.498940011604968e-05,
|
| 912 |
+
"loss": 0.024330951273441315,
|
| 913 |
+
"step": 645
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.11082693947144075,
|
| 917 |
+
"grad_norm": 0.21875615417957306,
|
| 918 |
+
"learning_rate": 7.498878220541564e-05,
|
| 919 |
+
"loss": 0.024424785375595094,
|
| 920 |
+
"step": 650
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.11167945439045183,
|
| 924 |
+
"grad_norm": 0.123925119638443,
|
| 925 |
+
"learning_rate": 7.498814679377101e-05,
|
| 926 |
+
"loss": 0.02317858040332794,
|
| 927 |
+
"step": 655
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.11253196930946291,
|
| 931 |
+
"grad_norm": 0.14151433110237122,
|
| 932 |
+
"learning_rate": 7.498749388141243e-05,
|
| 933 |
+
"loss": 0.022727210819721223,
|
| 934 |
+
"step": 660
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.113384484228474,
|
| 938 |
+
"grad_norm": 0.18616050481796265,
|
| 939 |
+
"learning_rate": 7.498682346864469e-05,
|
| 940 |
+
"loss": 0.01945887804031372,
|
| 941 |
+
"step": 665
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.11423699914748509,
|
| 945 |
+
"grad_norm": 0.1922500878572464,
|
| 946 |
+
"learning_rate": 7.498613555578076e-05,
|
| 947 |
+
"loss": 0.022058220207691194,
|
| 948 |
+
"step": 670
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.11508951406649616,
|
| 952 |
+
"grad_norm": 0.18918555974960327,
|
| 953 |
+
"learning_rate": 7.49854301431418e-05,
|
| 954 |
+
"loss": 0.0243424192070961,
|
| 955 |
+
"step": 675
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.11594202898550725,
|
| 959 |
+
"grad_norm": 0.16539838910102844,
|
| 960 |
+
"learning_rate": 7.49847072310571e-05,
|
| 961 |
+
"loss": 0.020285174250602722,
|
| 962 |
+
"step": 680
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.11679454390451834,
|
| 966 |
+
"grad_norm": 0.18860585987567902,
|
| 967 |
+
"learning_rate": 7.498396681986413e-05,
|
| 968 |
+
"loss": 0.023155918717384337,
|
| 969 |
+
"step": 685
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.11764705882352941,
|
| 973 |
+
"grad_norm": 0.14543582499027252,
|
| 974 |
+
"learning_rate": 7.498320890990857e-05,
|
| 975 |
+
"loss": 0.027234339714050294,
|
| 976 |
+
"step": 690
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.1184995737425405,
|
| 980 |
+
"grad_norm": 0.19847829639911652,
|
| 981 |
+
"learning_rate": 7.498243350154423e-05,
|
| 982 |
+
"loss": 0.023280018568038942,
|
| 983 |
+
"step": 695
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.11935208866155157,
|
| 987 |
+
"grad_norm": 0.17652468383312225,
|
| 988 |
+
"learning_rate": 7.498164059513307e-05,
|
| 989 |
+
"loss": 0.01944337636232376,
|
| 990 |
+
"step": 700
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.12020460358056266,
|
| 994 |
+
"grad_norm": 0.17437686026096344,
|
| 995 |
+
"learning_rate": 7.498083019104527e-05,
|
| 996 |
+
"loss": 0.024408455193042754,
|
| 997 |
+
"step": 705
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.12105711849957375,
|
| 1001 |
+
"grad_norm": 0.23269855976104736,
|
| 1002 |
+
"learning_rate": 7.498000228965913e-05,
|
| 1003 |
+
"loss": 0.023170632123947144,
|
| 1004 |
+
"step": 710
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.12190963341858482,
|
| 1008 |
+
"grad_norm": 0.23201921582221985,
|
| 1009 |
+
"learning_rate": 7.497915689136119e-05,
|
| 1010 |
+
"loss": 0.020825451612472533,
|
| 1011 |
+
"step": 715
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.12276214833759591,
|
| 1015 |
+
"grad_norm": 0.21852006018161774,
|
| 1016 |
+
"learning_rate": 7.497829399654607e-05,
|
| 1017 |
+
"loss": 0.02518810033798218,
|
| 1018 |
+
"step": 720
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.12361466325660699,
|
| 1022 |
+
"grad_norm": 0.13872551918029785,
|
| 1023 |
+
"learning_rate": 7.49774136056166e-05,
|
| 1024 |
+
"loss": 0.019051629304885864,
|
| 1025 |
+
"step": 725
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.12446717817561807,
|
| 1029 |
+
"grad_norm": 0.19865746796131134,
|
| 1030 |
+
"learning_rate": 7.497651571898379e-05,
|
| 1031 |
+
"loss": 0.029187721014022828,
|
| 1032 |
+
"step": 730
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.12531969309462915,
|
| 1036 |
+
"grad_norm": 0.1114022508263588,
|
| 1037 |
+
"learning_rate": 7.49756003370668e-05,
|
| 1038 |
+
"loss": 0.019581268727779388,
|
| 1039 |
+
"step": 735
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.12617220801364024,
|
| 1043 |
+
"grad_norm": 0.15444278717041016,
|
| 1044 |
+
"learning_rate": 7.497466746029293e-05,
|
| 1045 |
+
"loss": 0.022893126308918,
|
| 1046 |
+
"step": 740
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.12702472293265132,
|
| 1050 |
+
"grad_norm": 0.17494694888591766,
|
| 1051 |
+
"learning_rate": 7.497371708909771e-05,
|
| 1052 |
+
"loss": 0.0201113760471344,
|
| 1053 |
+
"step": 745
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.1278772378516624,
|
| 1057 |
+
"grad_norm": 0.22953887283802032,
|
| 1058 |
+
"learning_rate": 7.497274922392483e-05,
|
| 1059 |
+
"loss": 0.019417384266853334,
|
| 1060 |
+
"step": 750
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.1287297527706735,
|
| 1064 |
+
"grad_norm": 0.3160583972930908,
|
| 1065 |
+
"learning_rate": 7.497176386522606e-05,
|
| 1066 |
+
"loss": 0.02309718430042267,
|
| 1067 |
+
"step": 755
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.12958226768968456,
|
| 1071 |
+
"grad_norm": 0.17354142665863037,
|
| 1072 |
+
"learning_rate": 7.497076101346144e-05,
|
| 1073 |
+
"loss": 0.023600351810455323,
|
| 1074 |
+
"step": 760
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.13043478260869565,
|
| 1078 |
+
"grad_norm": 0.16583387553691864,
|
| 1079 |
+
"learning_rate": 7.496974066909913e-05,
|
| 1080 |
+
"loss": 0.019191825389862062,
|
| 1081 |
+
"step": 765
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.13128729752770674,
|
| 1085 |
+
"grad_norm": 0.15626493096351624,
|
| 1086 |
+
"learning_rate": 7.496870283261546e-05,
|
| 1087 |
+
"loss": 0.02239798903465271,
|
| 1088 |
+
"step": 770
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.13213981244671782,
|
| 1092 |
+
"grad_norm": 0.14147315919399261,
|
| 1093 |
+
"learning_rate": 7.49676475044949e-05,
|
| 1094 |
+
"loss": 0.023734869062900545,
|
| 1095 |
+
"step": 775
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.1329923273657289,
|
| 1099 |
+
"grad_norm": 0.15843693912029266,
|
| 1100 |
+
"learning_rate": 7.496657468523014e-05,
|
| 1101 |
+
"loss": 0.025466001033782958,
|
| 1102 |
+
"step": 780
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.13384484228473997,
|
| 1106 |
+
"grad_norm": 0.22425507009029388,
|
| 1107 |
+
"learning_rate": 7.496548437532202e-05,
|
| 1108 |
+
"loss": 0.023076604306697845,
|
| 1109 |
+
"step": 785
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.13469735720375106,
|
| 1113 |
+
"grad_norm": 0.18824175000190735,
|
| 1114 |
+
"learning_rate": 7.496437657527949e-05,
|
| 1115 |
+
"loss": 0.021127034723758698,
|
| 1116 |
+
"step": 790
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.13554987212276215,
|
| 1120 |
+
"grad_norm": 0.16782736778259277,
|
| 1121 |
+
"learning_rate": 7.496325128561975e-05,
|
| 1122 |
+
"loss": 0.022259844839572905,
|
| 1123 |
+
"step": 795
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.13640238704177324,
|
| 1127 |
+
"grad_norm": 0.1475634127855301,
|
| 1128 |
+
"learning_rate": 7.496210850686809e-05,
|
| 1129 |
+
"loss": 0.022344502806663512,
|
| 1130 |
+
"step": 800
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.13725490196078433,
|
| 1134 |
+
"grad_norm": 0.20939050614833832,
|
| 1135 |
+
"learning_rate": 7.496094823955801e-05,
|
| 1136 |
+
"loss": 0.022960008680820466,
|
| 1137 |
+
"step": 805
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.13810741687979539,
|
| 1141 |
+
"grad_norm": 0.16113007068634033,
|
| 1142 |
+
"learning_rate": 7.495977048423117e-05,
|
| 1143 |
+
"loss": 0.02274739146232605,
|
| 1144 |
+
"step": 810
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.13895993179880647,
|
| 1148 |
+
"grad_norm": 0.15893374383449554,
|
| 1149 |
+
"learning_rate": 7.495857524143738e-05,
|
| 1150 |
+
"loss": 0.02106706500053406,
|
| 1151 |
+
"step": 815
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.13981244671781756,
|
| 1155 |
+
"grad_norm": 0.15888579189777374,
|
| 1156 |
+
"learning_rate": 7.495736251173463e-05,
|
| 1157 |
+
"loss": 0.023226001858711244,
|
| 1158 |
+
"step": 820
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.14066496163682865,
|
| 1162 |
+
"grad_norm": 0.11525560915470123,
|
| 1163 |
+
"learning_rate": 7.495613229568903e-05,
|
| 1164 |
+
"loss": 0.022408871352672576,
|
| 1165 |
+
"step": 825
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.14151747655583974,
|
| 1169 |
+
"grad_norm": 0.14761297404766083,
|
| 1170 |
+
"learning_rate": 7.49548845938749e-05,
|
| 1171 |
+
"loss": 0.019345660507678986,
|
| 1172 |
+
"step": 830
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.1423699914748508,
|
| 1176 |
+
"grad_norm": 0.13265904784202576,
|
| 1177 |
+
"learning_rate": 7.495361940687475e-05,
|
| 1178 |
+
"loss": 0.019794172048568724,
|
| 1179 |
+
"step": 835
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.1432225063938619,
|
| 1183 |
+
"grad_norm": 0.11557731032371521,
|
| 1184 |
+
"learning_rate": 7.495233673527914e-05,
|
| 1185 |
+
"loss": 0.024709561467170717,
|
| 1186 |
+
"step": 840
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.14407502131287298,
|
| 1190 |
+
"grad_norm": 0.17875051498413086,
|
| 1191 |
+
"learning_rate": 7.495103657968692e-05,
|
| 1192 |
+
"loss": 0.025614869594573975,
|
| 1193 |
+
"step": 845
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.14492753623188406,
|
| 1197 |
+
"grad_norm": 0.1512315273284912,
|
| 1198 |
+
"learning_rate": 7.494971894070501e-05,
|
| 1199 |
+
"loss": 0.025504299998283388,
|
| 1200 |
+
"step": 850
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.14578005115089515,
|
| 1204 |
+
"grad_norm": 0.14291605353355408,
|
| 1205 |
+
"learning_rate": 7.494838381894856e-05,
|
| 1206 |
+
"loss": 0.021080103516578675,
|
| 1207 |
+
"step": 855
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.1466325660699062,
|
| 1211 |
+
"grad_norm": 0.15058816969394684,
|
| 1212 |
+
"learning_rate": 7.494703121504082e-05,
|
| 1213 |
+
"loss": 0.02321579456329346,
|
| 1214 |
+
"step": 860
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.1474850809889173,
|
| 1218 |
+
"grad_norm": 0.1318487823009491,
|
| 1219 |
+
"learning_rate": 7.494566112961325e-05,
|
| 1220 |
+
"loss": 0.02411908209323883,
|
| 1221 |
+
"step": 865
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.1483375959079284,
|
| 1225 |
+
"grad_norm": 0.12876658141613007,
|
| 1226 |
+
"learning_rate": 7.494427356330544e-05,
|
| 1227 |
+
"loss": 0.019800490140914916,
|
| 1228 |
+
"step": 870
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.14919011082693948,
|
| 1232 |
+
"grad_norm": 0.12533710896968842,
|
| 1233 |
+
"learning_rate": 7.494286851676515e-05,
|
| 1234 |
+
"loss": 0.017035895586013795,
|
| 1235 |
+
"step": 875
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.15004262574595056,
|
| 1239 |
+
"grad_norm": 0.2429656982421875,
|
| 1240 |
+
"learning_rate": 7.494144599064833e-05,
|
| 1241 |
+
"loss": 0.0231891930103302,
|
| 1242 |
+
"step": 880
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.15089514066496162,
|
| 1246 |
+
"grad_norm": 0.16483844816684723,
|
| 1247 |
+
"learning_rate": 7.494000598561902e-05,
|
| 1248 |
+
"loss": 0.020446807146072388,
|
| 1249 |
+
"step": 885
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.1517476555839727,
|
| 1253 |
+
"grad_norm": 0.18868009746074677,
|
| 1254 |
+
"learning_rate": 7.49385485023495e-05,
|
| 1255 |
+
"loss": 0.01781340092420578,
|
| 1256 |
+
"step": 890
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.1526001705029838,
|
| 1260 |
+
"grad_norm": 0.1524050384759903,
|
| 1261 |
+
"learning_rate": 7.493707354152015e-05,
|
| 1262 |
+
"loss": 0.02079763263463974,
|
| 1263 |
+
"step": 895
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.1534526854219949,
|
| 1267 |
+
"grad_norm": 0.14906258881092072,
|
| 1268 |
+
"learning_rate": 7.493558110381954e-05,
|
| 1269 |
+
"loss": 0.020413240790367125,
|
| 1270 |
+
"step": 900
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.15430520034100598,
|
| 1274 |
+
"grad_norm": 0.17433762550354004,
|
| 1275 |
+
"learning_rate": 7.493407118994437e-05,
|
| 1276 |
+
"loss": 0.023528662323951722,
|
| 1277 |
+
"step": 905
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.15515771526001704,
|
| 1281 |
+
"grad_norm": 0.15428426861763,
|
| 1282 |
+
"learning_rate": 7.493254380059954e-05,
|
| 1283 |
+
"loss": 0.0167276993393898,
|
| 1284 |
+
"step": 910
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.15601023017902813,
|
| 1288 |
+
"grad_norm": 0.14796046912670135,
|
| 1289 |
+
"learning_rate": 7.49309989364981e-05,
|
| 1290 |
+
"loss": 0.021766343712806703,
|
| 1291 |
+
"step": 915
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.1568627450980392,
|
| 1295 |
+
"grad_norm": 0.19506044685840607,
|
| 1296 |
+
"learning_rate": 7.492943659836121e-05,
|
| 1297 |
+
"loss": 0.019172856211662294,
|
| 1298 |
+
"step": 920
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.1577152600170503,
|
| 1302 |
+
"grad_norm": 0.10270880907773972,
|
| 1303 |
+
"learning_rate": 7.492785678691822e-05,
|
| 1304 |
+
"loss": 0.017702698707580566,
|
| 1305 |
+
"step": 925
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.1585677749360614,
|
| 1309 |
+
"grad_norm": 0.19830335676670074,
|
| 1310 |
+
"learning_rate": 7.492625950290668e-05,
|
| 1311 |
+
"loss": 0.02414294332265854,
|
| 1312 |
+
"step": 930
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.15942028985507245,
|
| 1316 |
+
"grad_norm": 0.13340385258197784,
|
| 1317 |
+
"learning_rate": 7.492464474707222e-05,
|
| 1318 |
+
"loss": 0.020504102110862732,
|
| 1319 |
+
"step": 935
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.16027280477408354,
|
| 1323 |
+
"grad_norm": 0.15535341203212738,
|
| 1324 |
+
"learning_rate": 7.492301252016867e-05,
|
| 1325 |
+
"loss": 0.024209281802177428,
|
| 1326 |
+
"step": 940
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.16112531969309463,
|
| 1330 |
+
"grad_norm": 0.1643867790699005,
|
| 1331 |
+
"learning_rate": 7.492136282295801e-05,
|
| 1332 |
+
"loss": 0.023817232251167296,
|
| 1333 |
+
"step": 945
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.16197783461210571,
|
| 1337 |
+
"grad_norm": 0.17358379065990448,
|
| 1338 |
+
"learning_rate": 7.491969565621036e-05,
|
| 1339 |
+
"loss": 0.022003316879272462,
|
| 1340 |
+
"step": 950
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.1628303495311168,
|
| 1344 |
+
"grad_norm": 0.18677742779254913,
|
| 1345 |
+
"learning_rate": 7.491801102070403e-05,
|
| 1346 |
+
"loss": 0.018950483202934264,
|
| 1347 |
+
"step": 955
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.1636828644501279,
|
| 1351 |
+
"grad_norm": 0.13851206004619598,
|
| 1352 |
+
"learning_rate": 7.491630891722547e-05,
|
| 1353 |
+
"loss": 0.017542189359664916,
|
| 1354 |
+
"step": 960
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.16453537936913895,
|
| 1358 |
+
"grad_norm": 0.19967755675315857,
|
| 1359 |
+
"learning_rate": 7.491458934656925e-05,
|
| 1360 |
+
"loss": 0.022756266593933105,
|
| 1361 |
+
"step": 965
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.16538789428815004,
|
| 1365 |
+
"grad_norm": 0.12368317693471909,
|
| 1366 |
+
"learning_rate": 7.491285230953814e-05,
|
| 1367 |
+
"loss": 0.02156476378440857,
|
| 1368 |
+
"step": 970
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.16624040920716113,
|
| 1372 |
+
"grad_norm": 0.15940691530704498,
|
| 1373 |
+
"learning_rate": 7.491109780694303e-05,
|
| 1374 |
+
"loss": 0.020778095722198485,
|
| 1375 |
+
"step": 975
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.16709292412617222,
|
| 1379 |
+
"grad_norm": 0.13057319819927216,
|
| 1380 |
+
"learning_rate": 7.490932583960302e-05,
|
| 1381 |
+
"loss": 0.017678585648536683,
|
| 1382 |
+
"step": 980
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.1679454390451833,
|
| 1386 |
+
"grad_norm": 0.23632560670375824,
|
| 1387 |
+
"learning_rate": 7.490753640834527e-05,
|
| 1388 |
+
"loss": 0.0188615620136261,
|
| 1389 |
+
"step": 985
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.16879795396419436,
|
| 1393 |
+
"grad_norm": 0.17829905450344086,
|
| 1394 |
+
"learning_rate": 7.490572951400518e-05,
|
| 1395 |
+
"loss": 0.017176347970962524,
|
| 1396 |
+
"step": 990
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.16965046888320545,
|
| 1400 |
+
"grad_norm": 0.2470170259475708,
|
| 1401 |
+
"learning_rate": 7.490390515742626e-05,
|
| 1402 |
+
"loss": 0.020955404639244078,
|
| 1403 |
+
"step": 995
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.17050298380221654,
|
| 1407 |
+
"grad_norm": 0.17038558423519135,
|
| 1408 |
+
"learning_rate": 7.490206333946019e-05,
|
| 1409 |
+
"loss": 0.0216932088136673,
|
| 1410 |
+
"step": 1000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.17135549872122763,
|
| 1414 |
+
"grad_norm": 0.18727493286132812,
|
| 1415 |
+
"learning_rate": 7.490020406096678e-05,
|
| 1416 |
+
"loss": 0.02001047134399414,
|
| 1417 |
+
"step": 1005
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.17220801364023872,
|
| 1421 |
+
"grad_norm": 0.13901565968990326,
|
| 1422 |
+
"learning_rate": 7.489832732281401e-05,
|
| 1423 |
+
"loss": 0.02116202861070633,
|
| 1424 |
+
"step": 1010
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.17306052855924978,
|
| 1428 |
+
"grad_norm": 0.15908955037593842,
|
| 1429 |
+
"learning_rate": 7.489643312587799e-05,
|
| 1430 |
+
"loss": 0.021178147196769713,
|
| 1431 |
+
"step": 1015
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.17391304347826086,
|
| 1435 |
+
"grad_norm": 0.10865574330091476,
|
| 1436 |
+
"learning_rate": 7.489452147104301e-05,
|
| 1437 |
+
"loss": 0.018146297335624693,
|
| 1438 |
+
"step": 1020
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.17476555839727195,
|
| 1442 |
+
"grad_norm": 0.15789146721363068,
|
| 1443 |
+
"learning_rate": 7.489259235920149e-05,
|
| 1444 |
+
"loss": 0.01937219351530075,
|
| 1445 |
+
"step": 1025
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.17561807331628304,
|
| 1449 |
+
"grad_norm": 0.15732690691947937,
|
| 1450 |
+
"learning_rate": 7.489064579125399e-05,
|
| 1451 |
+
"loss": 0.017243795096874237,
|
| 1452 |
+
"step": 1030
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.17647058823529413,
|
| 1456 |
+
"grad_norm": 0.16714419424533844,
|
| 1457 |
+
"learning_rate": 7.488868176810926e-05,
|
| 1458 |
+
"loss": 0.02017078697681427,
|
| 1459 |
+
"step": 1035
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.1773231031543052,
|
| 1463 |
+
"grad_norm": 0.17852213978767395,
|
| 1464 |
+
"learning_rate": 7.488670029068415e-05,
|
| 1465 |
+
"loss": 0.021479792892932892,
|
| 1466 |
+
"step": 1040
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.17817561807331628,
|
| 1470 |
+
"grad_norm": 0.13795003294944763,
|
| 1471 |
+
"learning_rate": 7.488470135990369e-05,
|
| 1472 |
+
"loss": 0.020610035955905916,
|
| 1473 |
+
"step": 1045
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.17902813299232737,
|
| 1477 |
+
"grad_norm": 0.1261966973543167,
|
| 1478 |
+
"learning_rate": 7.488268497670103e-05,
|
| 1479 |
+
"loss": 0.020418691635131835,
|
| 1480 |
+
"step": 1050
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.17988064791133845,
|
| 1484 |
+
"grad_norm": 0.14397430419921875,
|
| 1485 |
+
"learning_rate": 7.488065114201752e-05,
|
| 1486 |
+
"loss": 0.021986766159534453,
|
| 1487 |
+
"step": 1055
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.18073316283034954,
|
| 1491 |
+
"grad_norm": 0.16623377799987793,
|
| 1492 |
+
"learning_rate": 7.487859985680257e-05,
|
| 1493 |
+
"loss": 0.015715084969997406,
|
| 1494 |
+
"step": 1060
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.1815856777493606,
|
| 1498 |
+
"grad_norm": 0.16128598153591156,
|
| 1499 |
+
"learning_rate": 7.487653112201385e-05,
|
| 1500 |
+
"loss": 0.020126304030418395,
|
| 1501 |
+
"step": 1065
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.1824381926683717,
|
| 1505 |
+
"grad_norm": 0.16765518486499786,
|
| 1506 |
+
"learning_rate": 7.487444493861705e-05,
|
| 1507 |
+
"loss": 0.026783743500709535,
|
| 1508 |
+
"step": 1070
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.18329070758738278,
|
| 1512 |
+
"grad_norm": 0.1425476372241974,
|
| 1513 |
+
"learning_rate": 7.487234130758613e-05,
|
| 1514 |
+
"loss": 0.014856821298599244,
|
| 1515 |
+
"step": 1075
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.18414322250639387,
|
| 1519 |
+
"grad_norm": 0.12260995805263519,
|
| 1520 |
+
"learning_rate": 7.487022022990309e-05,
|
| 1521 |
+
"loss": 0.020856201648712158,
|
| 1522 |
+
"step": 1080
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.18499573742540495,
|
| 1526 |
+
"grad_norm": 0.19255946576595306,
|
| 1527 |
+
"learning_rate": 7.486808170655813e-05,
|
| 1528 |
+
"loss": 0.018779371678829194,
|
| 1529 |
+
"step": 1085
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.18584825234441602,
|
| 1533 |
+
"grad_norm": 0.10923872888088226,
|
| 1534 |
+
"learning_rate": 7.48659257385496e-05,
|
| 1535 |
+
"loss": 0.019713962078094484,
|
| 1536 |
+
"step": 1090
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.1867007672634271,
|
| 1540 |
+
"grad_norm": 0.1676846742630005,
|
| 1541 |
+
"learning_rate": 7.486375232688397e-05,
|
| 1542 |
+
"loss": 0.01982394903898239,
|
| 1543 |
+
"step": 1095
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.1875532821824382,
|
| 1547 |
+
"grad_norm": 0.1513833999633789,
|
| 1548 |
+
"learning_rate": 7.486156147257584e-05,
|
| 1549 |
+
"loss": 0.020366309583187102,
|
| 1550 |
+
"step": 1100
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.18840579710144928,
|
| 1554 |
+
"grad_norm": 0.19411510229110718,
|
| 1555 |
+
"learning_rate": 7.485935317664801e-05,
|
| 1556 |
+
"loss": 0.02244427800178528,
|
| 1557 |
+
"step": 1105
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.18925831202046037,
|
| 1561 |
+
"grad_norm": 0.15320256352424622,
|
| 1562 |
+
"learning_rate": 7.485712744013137e-05,
|
| 1563 |
+
"loss": 0.018899278342723848,
|
| 1564 |
+
"step": 1110
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.19011082693947143,
|
| 1568 |
+
"grad_norm": 0.1213340014219284,
|
| 1569 |
+
"learning_rate": 7.485488426406495e-05,
|
| 1570 |
+
"loss": 0.022865024209022523,
|
| 1571 |
+
"step": 1115
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.19096334185848252,
|
| 1575 |
+
"grad_norm": 0.156148761510849,
|
| 1576 |
+
"learning_rate": 7.485262364949597e-05,
|
| 1577 |
+
"loss": 0.01619085520505905,
|
| 1578 |
+
"step": 1120
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.1918158567774936,
|
| 1582 |
+
"grad_norm": 0.17139101028442383,
|
| 1583 |
+
"learning_rate": 7.485034559747974e-05,
|
| 1584 |
+
"loss": 0.024563166499137878,
|
| 1585 |
+
"step": 1125
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.1926683716965047,
|
| 1589 |
+
"grad_norm": 0.1486269235610962,
|
| 1590 |
+
"learning_rate": 7.484805010907975e-05,
|
| 1591 |
+
"loss": 0.017760181427001955,
|
| 1592 |
+
"step": 1130
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.19352088661551578,
|
| 1596 |
+
"grad_norm": 0.10183791071176529,
|
| 1597 |
+
"learning_rate": 7.484573718536758e-05,
|
| 1598 |
+
"loss": 0.018906766176223756,
|
| 1599 |
+
"step": 1135
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.19437340153452684,
|
| 1603 |
+
"grad_norm": 0.09899614751338959,
|
| 1604 |
+
"learning_rate": 7.4843406827423e-05,
|
| 1605 |
+
"loss": 0.017186886072158812,
|
| 1606 |
+
"step": 1140
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.19522591645353793,
|
| 1610 |
+
"grad_norm": 0.18609358370304108,
|
| 1611 |
+
"learning_rate": 7.484105903633388e-05,
|
| 1612 |
+
"loss": 0.023327428102493285,
|
| 1613 |
+
"step": 1145
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.19607843137254902,
|
| 1617 |
+
"grad_norm": 0.1430123895406723,
|
| 1618 |
+
"learning_rate": 7.483869381319627e-05,
|
| 1619 |
+
"loss": 0.01837810128927231,
|
| 1620 |
+
"step": 1150
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.1969309462915601,
|
| 1624 |
+
"grad_norm": 0.12148093432188034,
|
| 1625 |
+
"learning_rate": 7.483631115911434e-05,
|
| 1626 |
+
"loss": 0.020873771607875825,
|
| 1627 |
+
"step": 1155
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.1977834612105712,
|
| 1631 |
+
"grad_norm": 0.1707390397787094,
|
| 1632 |
+
"learning_rate": 7.483391107520037e-05,
|
| 1633 |
+
"loss": 0.020981839299201964,
|
| 1634 |
+
"step": 1160
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.19863597612958228,
|
| 1638 |
+
"grad_norm": 0.15569454431533813,
|
| 1639 |
+
"learning_rate": 7.483149356257479e-05,
|
| 1640 |
+
"loss": 0.020050540566444397,
|
| 1641 |
+
"step": 1165
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.19948849104859334,
|
| 1645 |
+
"grad_norm": 0.14249219000339508,
|
| 1646 |
+
"learning_rate": 7.482905862236622e-05,
|
| 1647 |
+
"loss": 0.023225483298301697,
|
| 1648 |
+
"step": 1170
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.20034100596760443,
|
| 1652 |
+
"grad_norm": 0.1274043619632721,
|
| 1653 |
+
"learning_rate": 7.482660625571134e-05,
|
| 1654 |
+
"loss": 0.019820016622543336,
|
| 1655 |
+
"step": 1175
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.20119352088661552,
|
| 1659 |
+
"grad_norm": 0.1457318663597107,
|
| 1660 |
+
"learning_rate": 7.482413646375498e-05,
|
| 1661 |
+
"loss": 0.02005559056997299,
|
| 1662 |
+
"step": 1180
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.2020460358056266,
|
| 1666 |
+
"grad_norm": 0.07950291782617569,
|
| 1667 |
+
"learning_rate": 7.482164924765016e-05,
|
| 1668 |
+
"loss": 0.017948240041732788,
|
| 1669 |
+
"step": 1185
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.2028985507246377,
|
| 1673 |
+
"grad_norm": 0.1678423136472702,
|
| 1674 |
+
"learning_rate": 7.481914460855796e-05,
|
| 1675 |
+
"loss": 0.019546866416931152,
|
| 1676 |
+
"step": 1190
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.20375106564364875,
|
| 1680 |
+
"grad_norm": 0.11161832511425018,
|
| 1681 |
+
"learning_rate": 7.481662254764765e-05,
|
| 1682 |
+
"loss": 0.016936585307121277,
|
| 1683 |
+
"step": 1195
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.20460358056265984,
|
| 1687 |
+
"grad_norm": 0.13490277528762817,
|
| 1688 |
+
"learning_rate": 7.481408306609662e-05,
|
| 1689 |
+
"loss": 0.0162262961268425,
|
| 1690 |
+
"step": 1200
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.20545609548167093,
|
| 1694 |
+
"grad_norm": 0.12022645026445389,
|
| 1695 |
+
"learning_rate": 7.481152616509037e-05,
|
| 1696 |
+
"loss": 0.016806957125663758,
|
| 1697 |
+
"step": 1205
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.20630861040068202,
|
| 1701 |
+
"grad_norm": 0.12359227240085602,
|
| 1702 |
+
"learning_rate": 7.480895184582253e-05,
|
| 1703 |
+
"loss": 0.018499378859996796,
|
| 1704 |
+
"step": 1210
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.2071611253196931,
|
| 1708 |
+
"grad_norm": 0.19136857986450195,
|
| 1709 |
+
"learning_rate": 7.48063601094949e-05,
|
| 1710 |
+
"loss": 0.020433078706264495,
|
| 1711 |
+
"step": 1215
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.20801364023870417,
|
| 1715 |
+
"grad_norm": 0.12723380327224731,
|
| 1716 |
+
"learning_rate": 7.48037509573174e-05,
|
| 1717 |
+
"loss": 0.02018003910779953,
|
| 1718 |
+
"step": 1220
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.20886615515771526,
|
| 1722 |
+
"grad_norm": 0.15497322380542755,
|
| 1723 |
+
"learning_rate": 7.480112439050804e-05,
|
| 1724 |
+
"loss": 0.02107332944869995,
|
| 1725 |
+
"step": 1225
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.20971867007672634,
|
| 1729 |
+
"grad_norm": 0.11446765065193176,
|
| 1730 |
+
"learning_rate": 7.4798480410293e-05,
|
| 1731 |
+
"loss": 0.019103091955184937,
|
| 1732 |
+
"step": 1230
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.21057118499573743,
|
| 1736 |
+
"grad_norm": 0.1497345268726349,
|
| 1737 |
+
"learning_rate": 7.47958190179066e-05,
|
| 1738 |
+
"loss": 0.017369136214256287,
|
| 1739 |
+
"step": 1235
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.21142369991474852,
|
| 1743 |
+
"grad_norm": 0.15736299753189087,
|
| 1744 |
+
"learning_rate": 7.479314021459123e-05,
|
| 1745 |
+
"loss": 0.021430164575576782,
|
| 1746 |
+
"step": 1240
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.21227621483375958,
|
| 1750 |
+
"grad_norm": 0.08084041625261307,
|
| 1751 |
+
"learning_rate": 7.479044400159746e-05,
|
| 1752 |
+
"loss": 0.020121607184410095,
|
| 1753 |
+
"step": 1245
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.21312872975277067,
|
| 1757 |
+
"grad_norm": 0.17284823954105377,
|
| 1758 |
+
"learning_rate": 7.478773038018397e-05,
|
| 1759 |
+
"loss": 0.01935868263244629,
|
| 1760 |
+
"step": 1250
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.21398124467178176,
|
| 1764 |
+
"grad_norm": 0.13502685725688934,
|
| 1765 |
+
"learning_rate": 7.478499935161758e-05,
|
| 1766 |
+
"loss": 0.01848755180835724,
|
| 1767 |
+
"step": 1255
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.21483375959079284,
|
| 1771 |
+
"grad_norm": 0.08890935033559799,
|
| 1772 |
+
"learning_rate": 7.478225091717323e-05,
|
| 1773 |
+
"loss": 0.015054155886173249,
|
| 1774 |
+
"step": 1260
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.21568627450980393,
|
| 1778 |
+
"grad_norm": 0.07348521798849106,
|
| 1779 |
+
"learning_rate": 7.477948507813396e-05,
|
| 1780 |
+
"loss": 0.02302621454000473,
|
| 1781 |
+
"step": 1265
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.216538789428815,
|
| 1785 |
+
"grad_norm": 0.12460815906524658,
|
| 1786 |
+
"learning_rate": 7.477670183579094e-05,
|
| 1787 |
+
"loss": 0.015830089151859284,
|
| 1788 |
+
"step": 1270
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.21739130434782608,
|
| 1792 |
+
"grad_norm": 0.09965575486421585,
|
| 1793 |
+
"learning_rate": 7.477390119144353e-05,
|
| 1794 |
+
"loss": 0.022217030823230743,
|
| 1795 |
+
"step": 1275
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.21824381926683717,
|
| 1799 |
+
"grad_norm": 0.1208283007144928,
|
| 1800 |
+
"learning_rate": 7.477108314639913e-05,
|
| 1801 |
+
"loss": 0.020600679516792297,
|
| 1802 |
+
"step": 1280
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.21909633418584826,
|
| 1806 |
+
"grad_norm": 0.1510528177022934,
|
| 1807 |
+
"learning_rate": 7.47682477019733e-05,
|
| 1808 |
+
"loss": 0.02392968088388443,
|
| 1809 |
+
"step": 1285
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.21994884910485935,
|
| 1813 |
+
"grad_norm": 0.1437598615884781,
|
| 1814 |
+
"learning_rate": 7.476539485948973e-05,
|
| 1815 |
+
"loss": 0.017244428396224976,
|
| 1816 |
+
"step": 1290
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.2208013640238704,
|
| 1820 |
+
"grad_norm": 0.20599612593650818,
|
| 1821 |
+
"learning_rate": 7.476252462028021e-05,
|
| 1822 |
+
"loss": 0.02182443141937256,
|
| 1823 |
+
"step": 1295
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.2216538789428815,
|
| 1827 |
+
"grad_norm": 0.12018046528100967,
|
| 1828 |
+
"learning_rate": 7.475963698568468e-05,
|
| 1829 |
+
"loss": 0.017898209393024445,
|
| 1830 |
+
"step": 1300
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.22250639386189258,
|
| 1834 |
+
"grad_norm": 0.14739947021007538,
|
| 1835 |
+
"learning_rate": 7.475673195705116e-05,
|
| 1836 |
+
"loss": 0.01632039248943329,
|
| 1837 |
+
"step": 1305
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 0.22335890878090367,
|
| 1841 |
+
"grad_norm": 0.1594342738389969,
|
| 1842 |
+
"learning_rate": 7.475380953573583e-05,
|
| 1843 |
+
"loss": 0.019042639434337615,
|
| 1844 |
+
"step": 1310
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 0.22421142369991476,
|
| 1848 |
+
"grad_norm": 0.15422497689723969,
|
| 1849 |
+
"learning_rate": 7.475086972310297e-05,
|
| 1850 |
+
"loss": 0.01909550428390503,
|
| 1851 |
+
"step": 1315
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 0.22506393861892582,
|
| 1855 |
+
"grad_norm": 0.10997913032770157,
|
| 1856 |
+
"learning_rate": 7.474791252052498e-05,
|
| 1857 |
+
"loss": 0.01707080900669098,
|
| 1858 |
+
"step": 1320
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 0.2259164535379369,
|
| 1862 |
+
"grad_norm": 0.14125043153762817,
|
| 1863 |
+
"learning_rate": 7.47449379293824e-05,
|
| 1864 |
+
"loss": 0.025346797704696656,
|
| 1865 |
+
"step": 1325
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 0.226768968456948,
|
| 1869 |
+
"grad_norm": 0.15269587934017181,
|
| 1870 |
+
"learning_rate": 7.474194595106384e-05,
|
| 1871 |
+
"loss": 0.017649538815021515,
|
| 1872 |
+
"step": 1330
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 0.22762148337595908,
|
| 1876 |
+
"grad_norm": 0.11451391130685806,
|
| 1877 |
+
"learning_rate": 7.473893658696605e-05,
|
| 1878 |
+
"loss": 0.016222651302814483,
|
| 1879 |
+
"step": 1335
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 0.22847399829497017,
|
| 1883 |
+
"grad_norm": 0.15066254138946533,
|
| 1884 |
+
"learning_rate": 7.473590983849396e-05,
|
| 1885 |
+
"loss": 0.019333544373512267,
|
| 1886 |
+
"step": 1340
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 0.22932651321398123,
|
| 1890 |
+
"grad_norm": 0.16034111380577087,
|
| 1891 |
+
"learning_rate": 7.473286570706047e-05,
|
| 1892 |
+
"loss": 0.020681440830230713,
|
| 1893 |
+
"step": 1345
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 0.23017902813299232,
|
| 1897 |
+
"grad_norm": 0.13590551912784576,
|
| 1898 |
+
"learning_rate": 7.472980419408675e-05,
|
| 1899 |
+
"loss": 0.01912907660007477,
|
| 1900 |
+
"step": 1350
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 0.2310315430520034,
|
| 1904 |
+
"grad_norm": 0.1059318482875824,
|
| 1905 |
+
"learning_rate": 7.472672530100199e-05,
|
| 1906 |
+
"loss": 0.013612470030784607,
|
| 1907 |
+
"step": 1355
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 0.2318840579710145,
|
| 1911 |
+
"grad_norm": 0.14834082126617432,
|
| 1912 |
+
"learning_rate": 7.472362902924352e-05,
|
| 1913 |
+
"loss": 0.01864627152681351,
|
| 1914 |
+
"step": 1360
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 0.23273657289002558,
|
| 1918 |
+
"grad_norm": 0.11334261298179626,
|
| 1919 |
+
"learning_rate": 7.472051538025678e-05,
|
| 1920 |
+
"loss": 0.018771368265151977,
|
| 1921 |
+
"step": 1365
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 0.23358908780903667,
|
| 1925 |
+
"grad_norm": 0.13945090770721436,
|
| 1926 |
+
"learning_rate": 7.471738435549533e-05,
|
| 1927 |
+
"loss": 0.01627613455057144,
|
| 1928 |
+
"step": 1370
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 0.23444160272804773,
|
| 1932 |
+
"grad_norm": 0.17654946446418762,
|
| 1933 |
+
"learning_rate": 7.471423595642084e-05,
|
| 1934 |
+
"loss": 0.02347823977470398,
|
| 1935 |
+
"step": 1375
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 0.23529411764705882,
|
| 1939 |
+
"grad_norm": 0.12936590611934662,
|
| 1940 |
+
"learning_rate": 7.471107018450309e-05,
|
| 1941 |
+
"loss": 0.02045731246471405,
|
| 1942 |
+
"step": 1380
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 0.2361466325660699,
|
| 1946 |
+
"grad_norm": 0.11726986616849899,
|
| 1947 |
+
"learning_rate": 7.470788704121995e-05,
|
| 1948 |
+
"loss": 0.020318010449409486,
|
| 1949 |
+
"step": 1385
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 0.236999147485081,
|
| 1953 |
+
"grad_norm": 0.08884494006633759,
|
| 1954 |
+
"learning_rate": 7.470468652805743e-05,
|
| 1955 |
+
"loss": 0.016616788506507874,
|
| 1956 |
+
"step": 1390
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 0.23785166240409208,
|
| 1960 |
+
"grad_norm": 0.1384650319814682,
|
| 1961 |
+
"learning_rate": 7.470146864650965e-05,
|
| 1962 |
+
"loss": 0.017017421126365662,
|
| 1963 |
+
"step": 1395
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 0.23870417732310314,
|
| 1967 |
+
"grad_norm": 0.17975082993507385,
|
| 1968 |
+
"learning_rate": 7.46982333980788e-05,
|
| 1969 |
+
"loss": 0.021484333276748657,
|
| 1970 |
+
"step": 1400
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 0.23955669224211423,
|
| 1974 |
+
"grad_norm": 0.12423302978277206,
|
| 1975 |
+
"learning_rate": 7.469498078427519e-05,
|
| 1976 |
+
"loss": 0.017081032693386077,
|
| 1977 |
+
"step": 1405
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 0.24040920716112532,
|
| 1981 |
+
"grad_norm": 0.1501087099313736,
|
| 1982 |
+
"learning_rate": 7.46917108066173e-05,
|
| 1983 |
+
"loss": 0.015354931354522705,
|
| 1984 |
+
"step": 1410
|
| 1985 |
+
},
|
| 1986 |
+
{
|
| 1987 |
+
"epoch": 0.2412617220801364,
|
| 1988 |
+
"grad_norm": 0.09775341302156448,
|
| 1989 |
+
"learning_rate": 7.468842346663162e-05,
|
| 1990 |
+
"loss": 0.015043070912361145,
|
| 1991 |
+
"step": 1415
|
| 1992 |
+
},
|
| 1993 |
+
{
|
| 1994 |
+
"epoch": 0.2421142369991475,
|
| 1995 |
+
"grad_norm": 0.22517770528793335,
|
| 1996 |
+
"learning_rate": 7.468511876585279e-05,
|
| 1997 |
+
"loss": 0.01923089921474457,
|
| 1998 |
+
"step": 1420
|
| 1999 |
+
},
|
| 2000 |
+
{
|
| 2001 |
+
"epoch": 0.24296675191815856,
|
| 2002 |
+
"grad_norm": 0.16673070192337036,
|
| 2003 |
+
"learning_rate": 7.468179670582359e-05,
|
| 2004 |
+
"loss": 0.022077682614326476,
|
| 2005 |
+
"step": 1425
|
| 2006 |
+
},
|
| 2007 |
+
{
|
| 2008 |
+
"epoch": 0.24381926683716965,
|
| 2009 |
+
"grad_norm": 0.15411542356014252,
|
| 2010 |
+
"learning_rate": 7.467845728809483e-05,
|
| 2011 |
+
"loss": 0.01438840925693512,
|
| 2012 |
+
"step": 1430
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 0.24467178175618073,
|
| 2016 |
+
"grad_norm": 0.14152199029922485,
|
| 2017 |
+
"learning_rate": 7.46751005142255e-05,
|
| 2018 |
+
"loss": 0.023038744926452637,
|
| 2019 |
+
"step": 1435
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 0.24552429667519182,
|
| 2023 |
+
"grad_norm": 0.22134003043174744,
|
| 2024 |
+
"learning_rate": 7.46717263857826e-05,
|
| 2025 |
+
"loss": 0.02072407156229019,
|
| 2026 |
+
"step": 1440
|
| 2027 |
+
},
|
| 2028 |
+
{
|
| 2029 |
+
"epoch": 0.2463768115942029,
|
| 2030 |
+
"grad_norm": 0.16586056351661682,
|
| 2031 |
+
"learning_rate": 7.466833490434132e-05,
|
| 2032 |
+
"loss": 0.022452065348625184,
|
| 2033 |
+
"step": 1445
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 0.24722932651321397,
|
| 2037 |
+
"grad_norm": 0.2230711281299591,
|
| 2038 |
+
"learning_rate": 7.466492607148492e-05,
|
| 2039 |
+
"loss": 0.022158581018447875,
|
| 2040 |
+
"step": 1450
|
| 2041 |
+
},
|
| 2042 |
+
{
|
| 2043 |
+
"epoch": 0.24808184143222506,
|
| 2044 |
+
"grad_norm": 0.1271371692419052,
|
| 2045 |
+
"learning_rate": 7.466149988880474e-05,
|
| 2046 |
+
"loss": 0.016606763005256653,
|
| 2047 |
+
"step": 1455
|
| 2048 |
+
},
|
| 2049 |
+
{
|
| 2050 |
+
"epoch": 0.24893435635123615,
|
| 2051 |
+
"grad_norm": 0.16286347806453705,
|
| 2052 |
+
"learning_rate": 7.465805635790024e-05,
|
| 2053 |
+
"loss": 0.021220946311950685,
|
| 2054 |
+
"step": 1460
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 0.24978687127024723,
|
| 2058 |
+
"grad_norm": 0.1534752994775772,
|
| 2059 |
+
"learning_rate": 7.4654595480379e-05,
|
| 2060 |
+
"loss": 0.019277589023113252,
|
| 2061 |
+
"step": 1465
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 0.24995737425404946,
|
| 2065 |
+
"eval_loss": 0.048333022743463516,
|
| 2066 |
+
"eval_runtime": 3.8326,
|
| 2067 |
+
"eval_samples_per_second": 65.751,
|
| 2068 |
+
"eval_steps_per_second": 1.044,
|
| 2069 |
+
"step": 1466
|
| 2070 |
+
},
|
| 2071 |
+
{
|
| 2072 |
+
"eval_cer_subset": 0.023708870569999294,
|
| 2073 |
+
"eval_cer_subset_edit_distance": 1346,
|
| 2074 |
+
"eval_cer_subset_groups": 250,
|
| 2075 |
+
"eval_cer_subset_items": 250,
|
| 2076 |
+
"eval_cer_subset_ref_chars": 56772,
|
| 2077 |
+
"step": 1466
|
| 2078 |
+
}
|
| 2079 |
+
],
|
| 2080 |
+
"logging_steps": 5,
|
| 2081 |
+
"max_steps": 23460,
|
| 2082 |
+
"num_input_tokens_seen": 0,
|
| 2083 |
+
"num_train_epochs": 4,
|
| 2084 |
+
"save_steps": 2932,
|
| 2085 |
+
"stateful_callbacks": {
|
| 2086 |
+
"TrainerControl": {
|
| 2087 |
+
"args": {
|
| 2088 |
+
"should_epoch_stop": false,
|
| 2089 |
+
"should_evaluate": false,
|
| 2090 |
+
"should_log": false,
|
| 2091 |
+
"should_save": true,
|
| 2092 |
+
"should_training_stop": false
|
| 2093 |
+
},
|
| 2094 |
+
"attributes": {}
|
| 2095 |
+
}
|
| 2096 |
+
},
|
| 2097 |
+
"total_flos": 6.463872307682918e+16,
|
| 2098 |
+
"train_batch_size": 32,
|
| 2099 |
+
"trial_name": null,
|
| 2100 |
+
"trial_params": null
|
| 2101 |
+
}
|
meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7511870667487ff1f832bd96611ce3c2683811bf8946eb2af6c034f3792899b8
|
| 3 |
+
size 5841
|
meta-llama__llama-3.2-1b/sft/run_manifest.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"run_id": "297b34c8-0ca0-4b1d-8d20-7702c51d147c",
|
| 4 |
+
"run_type": "sft",
|
| 5 |
+
"profile_name": "llama3_2_1b_base",
|
| 6 |
+
"model_name": "meta-llama/Llama-3.2-1B",
|
| 7 |
+
"status": "running",
|
| 8 |
+
"best_metric_name": "eval_loss",
|
| 9 |
+
"best_metric_value": 0.048333022743463516,
|
| 10 |
+
"best_step": 1466,
|
| 11 |
+
"best_checkpoint_step": 1466,
|
| 12 |
+
"latest_checkpoint_step": 1466,
|
| 13 |
+
"checkpoints": [
|
| 14 |
+
{
|
| 15 |
+
"step": 1466,
|
| 16 |
+
"epoch": 0.24995737425404946,
|
| 17 |
+
"repo_path": "meta-llama__llama-3.2-1b/sft/checkpoints/checkpoint-1466",
|
| 18 |
+
"timestamp": "2026-04-08T02:56:19.031847+00:00"
|
| 19 |
+
}
|
| 20 |
+
],
|
| 21 |
+
"epoch_artifacts": [],
|
| 22 |
+
"resume_history": [],
|
| 23 |
+
"created_at": "2026-04-08T02:28:34.984361+00:00",
|
| 24 |
+
"updated_at": "2026-04-08T02:56:19.031861+00:00"
|
| 25 |
+
}
|