FroxAI commited on
Commit
a06bb1b
·
verified ·
1 Parent(s): 3d4b99a

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  checkpoint-250/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
  checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  checkpoint-250/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
  checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ checkpoint-750/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-750/README.md ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:Qwen/Qwen2.5-Coder-1.5B-Instruct
7
+ - lora
8
+ - transformers
9
+ ---
10
+
11
+ # Model Card for Model ID
12
+
13
+ <!-- Provide a quick summary of what the model is/does. -->
14
+
15
+
16
+
17
+ ## Model Details
18
+
19
+ ### Model Description
20
+
21
+ <!-- Provide a longer summary of what this model is. -->
22
+
23
+
24
+
25
+ - **Developed by:** [More Information Needed]
26
+ - **Funded by [optional]:** [More Information Needed]
27
+ - **Shared by [optional]:** [More Information Needed]
28
+ - **Model type:** [More Information Needed]
29
+ - **Language(s) (NLP):** [More Information Needed]
30
+ - **License:** [More Information Needed]
31
+ - **Finetuned from model [optional]:** [More Information Needed]
32
+
33
+ ### Model Sources [optional]
34
+
35
+ <!-- Provide the basic links for the model. -->
36
+
37
+ - **Repository:** [More Information Needed]
38
+ - **Paper [optional]:** [More Information Needed]
39
+ - **Demo [optional]:** [More Information Needed]
40
+
41
+ ## Uses
42
+
43
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
+
45
+ ### Direct Use
46
+
47
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Downstream Use [optional]
52
+
53
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
+
55
+ [More Information Needed]
56
+
57
+ ### Out-of-Scope Use
58
+
59
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ## Bias, Risks, and Limitations
64
+
65
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
+
67
+ [More Information Needed]
68
+
69
+ ### Recommendations
70
+
71
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
72
+
73
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
+
75
+ ## How to Get Started with the Model
76
+
77
+ Use the code below to get started with the model.
78
+
79
+ [More Information Needed]
80
+
81
+ ## Training Details
82
+
83
+ ### Training Data
84
+
85
+ <!-- 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. -->
86
+
87
+ [More Information Needed]
88
+
89
+ ### Training Procedure
90
+
91
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
+
93
+ #### Preprocessing [optional]
94
+
95
+ [More Information Needed]
96
+
97
+
98
+ #### Training Hyperparameters
99
+
100
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
+
102
+ #### Speeds, Sizes, Times [optional]
103
+
104
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
105
+
106
+ [More Information Needed]
107
+
108
+ ## Evaluation
109
+
110
+ <!-- This section describes the evaluation protocols and provides the results. -->
111
+
112
+ ### Testing Data, Factors & Metrics
113
+
114
+ #### Testing Data
115
+
116
+ <!-- This should link to a Dataset Card if possible. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Factors
121
+
122
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
+
124
+ [More Information Needed]
125
+
126
+ #### Metrics
127
+
128
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
+
130
+ [More Information Needed]
131
+
132
+ ### Results
133
+
134
+ [More Information Needed]
135
+
136
+ #### Summary
137
+
138
+
139
+
140
+ ## Model Examination [optional]
141
+
142
+ <!-- Relevant interpretability work for the model goes here -->
143
+
144
+ [More Information Needed]
145
+
146
+ ## Environmental Impact
147
+
148
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
+
150
+ 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).
151
+
152
+ - **Hardware Type:** [More Information Needed]
153
+ - **Hours used:** [More Information Needed]
154
+ - **Cloud Provider:** [More Information Needed]
155
+ - **Compute Region:** [More Information Needed]
156
+ - **Carbon Emitted:** [More Information Needed]
157
+
158
+ ## Technical Specifications [optional]
159
+
160
+ ### Model Architecture and Objective
161
+
162
+ [More Information Needed]
163
+
164
+ ### Compute Infrastructure
165
+
166
+ [More Information Needed]
167
+
168
+ #### Hardware
169
+
170
+ [More Information Needed]
171
+
172
+ #### Software
173
+
174
+ [More Information Needed]
175
+
176
+ ## Citation [optional]
177
+
178
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
+
180
+ **BibTeX:**
181
+
182
+ [More Information Needed]
183
+
184
+ **APA:**
185
+
186
+ [More Information Needed]
187
+
188
+ ## Glossary [optional]
189
+
190
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
+
192
+ [More Information Needed]
193
+
194
+ ## More Information [optional]
195
+
196
+ [More Information Needed]
197
+
198
+ ## Model Card Authors [optional]
199
+
200
+ [More Information Needed]
201
+
202
+ ## Model Card Contact
203
+
204
+ [More Information Needed]
205
+ ### Framework versions
206
+
207
+ - PEFT 0.21.2
checkpoint-750/adapter_config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": null,
6
+ "base_model_name_or_path": "Qwen/Qwen2.5-Coder-1.5B-Instruct",
7
+ "bias": "none",
8
+ "corda_config": null,
9
+ "ensure_weight_tying": false,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "kasa_config": null,
16
+ "layer_replication": null,
17
+ "layers_pattern": null,
18
+ "layers_to_transform": null,
19
+ "loftq_config": {},
20
+ "lora_alpha": 32,
21
+ "lora_bias": false,
22
+ "lora_dropout": 0.05,
23
+ "lora_ga_config": null,
24
+ "megatron_config": null,
25
+ "megatron_core": "megatron.core",
26
+ "modules_to_save": null,
27
+ "monteclora_config": null,
28
+ "peft_type": "LORA",
29
+ "peft_version": "0.21.0",
30
+ "qalora_group_size": 16,
31
+ "r": 16,
32
+ "rank_pattern": {},
33
+ "revision": null,
34
+ "target_modules": [
35
+ "gate_proj",
36
+ "k_proj",
37
+ "v_proj",
38
+ "q_proj",
39
+ "down_proj",
40
+ "up_proj",
41
+ "o_proj"
42
+ ],
43
+ "target_parameters": null,
44
+ "task_type": "CAUSAL_LM",
45
+ "trainable_token_indices": null,
46
+ "use_bdlora": null,
47
+ "use_dora": false,
48
+ "use_qalora": false,
49
+ "use_rslora": false,
50
+ "velora_config": null
51
+ }
checkpoint-750/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:043bc87481e87296a6e4e23fa4752a8bfc99b7a711fb95a92b2b967cdc98e7fc
3
+ size 73911112
checkpoint-750/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
checkpoint-750/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0f7b7139ea0ce40efd3cad31c1f5de0afc31e55a2b742a4b599bcb5b091abae0
3
+ size 148053627
checkpoint-750/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ec1b66b10c63f4be77bdfe55df5770743dbff5ca43c432e480d770a9494937c9
3
+ size 14645
checkpoint-750/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ff09c655f1c24a2f07909dcd1ce1776420cc95dbf76543f8ecaac1128f97821
3
+ size 1465
checkpoint-750/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2f55e63353d3d978b390d346bae531be8b83bc9532c0be500d62b7253aa4c595
3
+ size 11421991
checkpoint-750/tokenizer_config.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "backend": "tokenizers",
4
+ "bos_token": null,
5
+ "clean_up_tokenization_spaces": false,
6
+ "eos_token": "<|im_end|>",
7
+ "errors": "replace",
8
+ "extra_special_tokens": [
9
+ "<|im_start|>",
10
+ "<|im_end|>",
11
+ "<|object_ref_start|>",
12
+ "<|object_ref_end|>",
13
+ "<|box_start|>",
14
+ "<|box_end|>",
15
+ "<|quad_start|>",
16
+ "<|quad_end|>",
17
+ "<|vision_start|>",
18
+ "<|vision_end|>",
19
+ "<|vision_pad|>",
20
+ "<|image_pad|>",
21
+ "<|video_pad|>"
22
+ ],
23
+ "is_local": false,
24
+ "local_files_only": false,
25
+ "model_max_length": 32768,
26
+ "pad_token": "<|endoftext|>",
27
+ "split_special_tokens": false,
28
+ "tokenizer_class": "Qwen2Tokenizer",
29
+ "unk_token": null
30
+ }
checkpoint-750/trainer_state.json ADDED
@@ -0,0 +1,559 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.8303349017437033,
6
+ "eval_steps": 500,
7
+ "global_step": 750,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.011071132023249377,
14
+ "grad_norm": 0.2982485890388489,
15
+ "learning_rate": 1.6666666666666667e-05,
16
+ "loss": 0.5438612461090088,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.022142264046498755,
21
+ "grad_norm": 0.2238633632659912,
22
+ "learning_rate": 3.518518518518519e-05,
23
+ "loss": 0.4879115104675293,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.03321339606974813,
28
+ "grad_norm": 0.19642046093940735,
29
+ "learning_rate": 4.9999358393573445e-05,
30
+ "loss": 0.5164765357971192,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.04428452809299751,
35
+ "grad_norm": 0.17894092202186584,
36
+ "learning_rate": 4.997690562638874e-05,
37
+ "loss": 0.5168572425842285,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.05535566011624689,
42
+ "grad_norm": 0.20002231001853943,
43
+ "learning_rate": 4.992240546298341e-05,
44
+ "loss": 0.4712099552154541,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.06642679213949626,
49
+ "grad_norm": 0.18889793753623962,
50
+ "learning_rate": 4.983592783148856e-05,
51
+ "loss": 0.4723380088806152,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.07749792416274565,
56
+ "grad_norm": 0.1800369769334793,
57
+ "learning_rate": 4.9717583689721046e-05,
58
+ "loss": 0.4957925319671631,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.08856905618599502,
63
+ "grad_norm": 0.18672174215316772,
64
+ "learning_rate": 4.9567524882815686e-05,
65
+ "loss": 0.4966912269592285,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.09964018820924439,
70
+ "grad_norm": 0.19791601598262787,
71
+ "learning_rate": 4.938594394839555e-05,
72
+ "loss": 0.45592079162597654,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.11071132023249378,
77
+ "grad_norm": 0.17983797192573547,
78
+ "learning_rate": 4.917307386953062e-05,
79
+ "loss": 0.47900638580322263,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.12178245225574315,
84
+ "grad_norm": 0.19228127598762512,
85
+ "learning_rate": 4.892918777580161e-05,
86
+ "loss": 0.47019343376159667,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.13285358427899252,
91
+ "grad_norm": 0.19917553663253784,
92
+ "learning_rate": 4.865459859285251e-05,
93
+ "loss": 0.5000853061676025,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.1439247163022419,
98
+ "grad_norm": 0.19071853160858154,
99
+ "learning_rate": 4.834965864088164e-05,
100
+ "loss": 0.45295085906982424,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.1549958483254913,
105
+ "grad_norm": 0.16079416871070862,
106
+ "learning_rate": 4.8014759182586274e-05,
107
+ "loss": 0.4652396202087402,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.16606698034874065,
112
+ "grad_norm": 0.19701199233531952,
113
+ "learning_rate": 4.765032992114078e-05,
114
+ "loss": 0.48296642303466797,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.17713811237199004,
119
+ "grad_norm": 0.21357282996177673,
120
+ "learning_rate": 4.725683844885266e-05,
121
+ "loss": 0.49079251289367676,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.18820924439523942,
126
+ "grad_norm": 0.2039526402950287,
127
+ "learning_rate": 4.6834789647203656e-05,
128
+ "loss": 0.4890737056732178,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.19928037641848878,
133
+ "grad_norm": 0.21518221497535706,
134
+ "learning_rate": 4.638472503904583e-05,
135
+ "loss": 0.45900492668151854,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.21035150844173817,
140
+ "grad_norm": 0.21490415930747986,
141
+ "learning_rate": 4.590722209378387e-05,
142
+ "loss": 0.5259706974029541,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.22142264046498755,
147
+ "grad_norm": 0.168563112616539,
148
+ "learning_rate": 4.540289348643493e-05,
149
+ "loss": 0.460019588470459,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.2324937724882369,
154
+ "grad_norm": 0.1914004385471344,
155
+ "learning_rate": 4.487238631151691e-05,
156
+ "loss": 0.44524073600769043,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.2435649045114863,
161
+ "grad_norm": 0.17691361904144287,
162
+ "learning_rate": 4.4316381252773696e-05,
163
+ "loss": 0.46790690422058107,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.25463603653473565,
168
+ "grad_norm": 0.2210698425769806,
169
+ "learning_rate": 4.373559170980271e-05,
170
+ "loss": 0.4862049579620361,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.26570716855798504,
175
+ "grad_norm": 0.22967994213104248,
176
+ "learning_rate": 4.3130762882705286e-05,
177
+ "loss": 0.4924201011657715,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.2767783005812344,
182
+ "grad_norm": 0.16751348972320557,
183
+ "learning_rate": 4.2502670815934566e-05,
184
+ "loss": 0.4716155529022217,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.2878494326044838,
189
+ "grad_norm": 0.21026551723480225,
190
+ "learning_rate": 4.185212140256745e-05,
191
+ "loss": 0.4572009563446045,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.2989205646277332,
196
+ "grad_norm": 0.22434744238853455,
197
+ "learning_rate": 4.1179949350278416e-05,
198
+ "loss": 0.45023150444030763,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.3099916966509826,
203
+ "grad_norm": 0.20906312763690948,
204
+ "learning_rate": 4.0487017110341885e-05,
205
+ "loss": 0.4625581741333008,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.3210628286742319,
210
+ "grad_norm": 0.2559385895729065,
211
+ "learning_rate": 3.977421377103721e-05,
212
+ "loss": 0.4705606460571289,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.3321339606974813,
217
+ "grad_norm": 0.19080273807048798,
218
+ "learning_rate": 3.9042453916876346e-05,
219
+ "loss": 0.4363286018371582,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.3432050927207307,
224
+ "grad_norm": 0.19936195015907288,
225
+ "learning_rate": 3.829267645511766e-05,
226
+ "loss": 0.4401339054107666,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.3542762247439801,
231
+ "grad_norm": 0.201541930437088,
232
+ "learning_rate": 3.75258434110718e-05,
233
+ "loss": 0.4440303802490234,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.36534735676722946,
238
+ "grad_norm": 0.21206802129745483,
239
+ "learning_rate": 3.6742938693745186e-05,
240
+ "loss": 0.4457419395446777,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.37641848879047884,
245
+ "grad_norm": 0.20935574173927307,
246
+ "learning_rate": 3.594496683340485e-05,
247
+ "loss": 0.446307897567749,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.38748962081372823,
252
+ "grad_norm": 0.1839415729045868,
253
+ "learning_rate": 3.513295169268469e-05,
254
+ "loss": 0.44975647926330564,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.39856075283697756,
259
+ "grad_norm": 0.24826107919216156,
260
+ "learning_rate": 3.430793515288663e-05,
261
+ "loss": 0.46418194770812987,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.40963188486022695,
266
+ "grad_norm": 0.1801632046699524,
267
+ "learning_rate": 3.347097577716236e-05,
268
+ "loss": 0.48062825202941895,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.42070301688347633,
273
+ "grad_norm": 0.2788636386394501,
274
+ "learning_rate": 3.262314745229097e-05,
275
+ "loss": 0.4637604713439941,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.4317741489067257,
280
+ "grad_norm": 0.20094694197177887,
281
+ "learning_rate": 3.176553801079502e-05,
282
+ "loss": 0.4522414207458496,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.4428452809299751,
287
+ "grad_norm": 0.20372502505779266,
288
+ "learning_rate": 3.0899247835163284e-05,
289
+ "loss": 0.4449589729309082,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.4539164129532245,
294
+ "grad_norm": 0.24644096195697784,
295
+ "learning_rate": 3.0025388445970632e-05,
296
+ "loss": 0.46959652900695803,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.4649875449764738,
301
+ "grad_norm": 0.1820651739835739,
302
+ "learning_rate": 2.9145081075707e-05,
303
+ "loss": 0.4682285785675049,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.4760586769997232,
308
+ "grad_norm": 0.22257454693317413,
309
+ "learning_rate": 2.8259455230145153e-05,
310
+ "loss": 0.4520132541656494,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.4871298090229726,
315
+ "grad_norm": 0.21487396955490112,
316
+ "learning_rate": 2.7369647239093137e-05,
317
+ "loss": 0.45970830917358396,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.498200941046222,
322
+ "grad_norm": 0.19929295778274536,
323
+ "learning_rate": 2.6476798798390933e-05,
324
+ "loss": 0.48697819709777834,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.5092720730694713,
329
+ "grad_norm": 0.19580361247062683,
330
+ "learning_rate": 2.558205550502211e-05,
331
+ "loss": 0.442689323425293,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.5203432050927207,
336
+ "grad_norm": 0.2583716809749603,
337
+ "learning_rate": 2.4686565387219925e-05,
338
+ "loss": 0.45048093795776367,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.5314143371159701,
343
+ "grad_norm": 0.21075128018856049,
344
+ "learning_rate": 2.3791477431453946e-05,
345
+ "loss": 0.4816279411315918,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.5424854691392195,
350
+ "grad_norm": 0.2000635415315628,
351
+ "learning_rate": 2.289794010818724e-05,
352
+ "loss": 0.44063844680786135,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.5535566011624689,
357
+ "grad_norm": 0.308988094329834,
358
+ "learning_rate": 2.2007099898295597e-05,
359
+ "loss": 0.5063977241516113,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.5646277331857182,
364
+ "grad_norm": 0.17804710566997528,
365
+ "learning_rate": 2.112009982203951e-05,
366
+ "loss": 0.4599731922149658,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.5756988652089676,
371
+ "grad_norm": 0.22322002053260803,
372
+ "learning_rate": 2.0238077972476493e-05,
373
+ "loss": 0.4338075160980225,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.586769997232217,
378
+ "grad_norm": 0.22158072888851166,
379
+ "learning_rate": 1.9362166055195333e-05,
380
+ "loss": 0.45435776710510256,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.5978411292554664,
385
+ "grad_norm": 0.21982787549495697,
386
+ "learning_rate": 1.849348793624604e-05,
387
+ "loss": 0.45902328491210936,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.6089122612787158,
392
+ "grad_norm": 0.21599163115024567,
393
+ "learning_rate": 1.7633158200128486e-05,
394
+ "loss": 0.46292743682861326,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.6199833933019652,
399
+ "grad_norm": 0.17219366133213043,
400
+ "learning_rate": 1.67822807196901e-05,
401
+ "loss": 0.44576573371887207,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.6310545253252146,
406
+ "grad_norm": 0.25163161754608154,
407
+ "learning_rate": 1.594194723976744e-05,
408
+ "loss": 0.49637713432312014,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.6421256573484638,
413
+ "grad_norm": 0.2211240828037262,
414
+ "learning_rate": 1.5113235976388995e-05,
415
+ "loss": 0.44209861755371094,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.6531967893717132,
420
+ "grad_norm": 0.23704175651073456,
421
+ "learning_rate": 1.4297210233336567e-05,
422
+ "loss": 0.47528576850891113,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.6642679213949626,
427
+ "grad_norm": 0.1952650547027588,
428
+ "learning_rate": 1.3494917037840226e-05,
429
+ "loss": 0.44990553855896,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.675339053418212,
434
+ "grad_norm": 0.23648826777935028,
435
+ "learning_rate": 1.2707385797157445e-05,
436
+ "loss": 0.4471109867095947,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.6864101854414614,
441
+ "grad_norm": 0.18498748540878296,
442
+ "learning_rate": 1.1935626977760081e-05,
443
+ "loss": 0.47311859130859374,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.6974813174647108,
448
+ "grad_norm": 0.22625111043453217,
449
+ "learning_rate": 1.1180630808823936e-05,
450
+ "loss": 0.478549861907959,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.7085524494879601,
455
+ "grad_norm": 0.23048552870750427,
456
+ "learning_rate": 1.0443366011684319e-05,
457
+ "loss": 0.4929988384246826,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.7196235815112095,
462
+ "grad_norm": 0.21760839223861694,
463
+ "learning_rate": 9.724778556888078e-06,
464
+ "loss": 0.45112242698669436,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.7306947135344589,
469
+ "grad_norm": 0.21399666368961334,
470
+ "learning_rate": 9.025790450436555e-06,
471
+ "loss": 0.45237131118774415,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.7417658455577083,
476
+ "grad_norm": 0.20168475806713104,
477
+ "learning_rate": 8.347298550777177e-06,
478
+ "loss": 0.44932117462158205,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.7528369775809577,
483
+ "grad_norm": 0.20694777369499207,
484
+ "learning_rate": 7.690173418061215e-06,
485
+ "loss": 0.46954689025878904,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.7639081096042071,
490
+ "grad_norm": 0.24068519473075867,
491
+ "learning_rate": 7.055258197144551e-06,
492
+ "loss": 0.47182540893554686,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.7749792416274565,
497
+ "grad_norm": 0.2288457453250885,
498
+ "learning_rate": 6.443367535764414e-06,
499
+ "loss": 0.45500984191894533,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.7860503736507057,
504
+ "grad_norm": 0.192505344748497,
505
+ "learning_rate": 5.855286539280203e-06,
506
+ "loss": 0.43417630195617674,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.7971215056739551,
511
+ "grad_norm": 0.20437484979629517,
512
+ "learning_rate": 5.291769763319684e-06,
513
+ "loss": 0.47623233795166015,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.8081926376972045,
518
+ "grad_norm": 0.21906627714633942,
519
+ "learning_rate": 4.75354024562284e-06,
520
+ "loss": 0.43716044425964357,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.8192637697204539,
525
+ "grad_norm": 0.20373809337615967,
526
+ "learning_rate": 4.241288578325842e-06,
527
+ "loss": 0.47289414405822755,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.8303349017437033,
532
+ "grad_norm": 0.19537311792373657,
533
+ "learning_rate": 3.755672021875273e-06,
534
+ "loss": 0.44959001541137694,
535
+ "step": 750
536
+ }
537
+ ],
538
+ "logging_steps": 10,
539
+ "max_steps": 904,
540
+ "num_input_tokens_seen": 0,
541
+ "num_train_epochs": 1,
542
+ "save_steps": 250,
543
+ "stateful_callbacks": {
544
+ "TrainerControl": {
545
+ "args": {
546
+ "should_epoch_stop": false,
547
+ "should_evaluate": false,
548
+ "should_log": false,
549
+ "should_save": true,
550
+ "should_training_stop": false
551
+ },
552
+ "attributes": {}
553
+ }
554
+ },
555
+ "total_flos": 6.489113686221619e+16,
556
+ "train_batch_size": 4,
557
+ "trial_name": null,
558
+ "trial_params": null
559
+ }
checkpoint-750/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fad64b4e012f40d8bc147096d8500d541a65c9a06823588c3e6a6965a9f0bbaa
3
+ size 5201