checkpoint-1000
Browse files- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/README.md +207 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/adapter_config.json +56 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/adapter_model.safetensors +3 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/best_metrics.json +4 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/optimizer.pt +3 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/rng_state.pth +3 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/scheduler.pt +3 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/trainer_state.json +734 -0
- qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/training_args.bin +3 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/README.md +207 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/adapter_config.json +56 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/adapter_model.safetensors +3 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/optimizer.pt +3 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/rng_state.pth +3 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/scheduler.pt +3 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/trainer_state.json +734 -0
- qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/training_args.bin +3 -0
- qwen3.5-2b-50pct-masked-weighted/config.yaml +61 -0
- qwen3.5-2b-50pct-masked-weighted/resolved_config.yaml +54 -0
- qwen3.5-2b-50pct-masked-weighted/tb/events.out.tfevents.1790426135.b0aacb224392.4711.0 +3 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_baseline/metrics.json +15 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_baseline/predictions.jsonl +0 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_entity/metrics.json +15 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_entity/predictions.jsonl +0 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_entity_baseline/metrics.json +15 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_entity_baseline/predictions.jsonl +0 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_typo/metrics.json +15 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_typo/predictions.jsonl +0 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_typo_baseline/metrics.json +15 -0
- qwen3.5-2b-50pct-masked-weighted/test_eval_typo_baseline/predictions.jsonl +0 -0
qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/README.md
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| 1 |
+
---
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| 2 |
+
base_model: Qwen/Qwen3.5-2B
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen3.5-2B
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| 7 |
+
- lora
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| 8 |
+
- transformers
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| 9 |
+
---
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| 10 |
+
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| 11 |
+
# Model Card for Model ID
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| 12 |
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| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
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| 14 |
+
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| 15 |
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| 16 |
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| 17 |
+
## Model Details
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| 18 |
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| 19 |
+
### Model Description
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| 20 |
+
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| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
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| 23 |
+
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| 24 |
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| 25 |
+
- **Developed by:** [More Information Needed]
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| 26 |
+
- **Funded by [optional]:** [More Information Needed]
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| 27 |
+
- **Shared by [optional]:** [More Information Needed]
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| 28 |
+
- **Model type:** [More Information Needed]
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| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
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| 34 |
+
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| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
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| 39 |
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- **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]
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| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
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| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 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
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| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
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| 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 |
+
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| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
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| 80 |
+
|
| 81 |
+
## Training Details
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| 82 |
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|
| 83 |
+
### Training Data
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| 84 |
+
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| 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. -->
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| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
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|
| 89 |
+
### Training Procedure
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| 90 |
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| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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| 92 |
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#### Preprocessing [optional]
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| 94 |
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[More Information Needed]
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| 96 |
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| 97 |
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| 98 |
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#### Training Hyperparameters
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| 99 |
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|
| 100 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 101 |
+
|
| 102 |
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#### Speeds, Sizes, Times [optional]
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| 103 |
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| 104 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 105 |
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| 106 |
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[More Information Needed]
|
| 107 |
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|
| 108 |
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## Evaluation
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| 109 |
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| 110 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 111 |
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| 112 |
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### Testing Data, Factors & Metrics
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| 113 |
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| 114 |
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#### Testing Data
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| 115 |
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| 116 |
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<!-- This should link to a Dataset Card if possible. -->
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| 117 |
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| 118 |
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[More Information Needed]
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| 119 |
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| 120 |
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#### Factors
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| 121 |
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| 122 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 123 |
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| 124 |
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[More Information Needed]
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| 125 |
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| 126 |
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#### Metrics
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| 127 |
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| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 129 |
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| 130 |
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[More Information Needed]
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| 131 |
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| 132 |
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### Results
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| 133 |
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| 134 |
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[More Information Needed]
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| 135 |
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|
| 136 |
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#### Summary
|
| 137 |
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|
| 138 |
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| 139 |
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|
| 140 |
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## Model Examination [optional]
|
| 141 |
+
|
| 142 |
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<!-- Relevant interpretability work for the model goes here -->
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| 143 |
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| 144 |
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[More Information Needed]
|
| 145 |
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|
| 146 |
+
## Environmental Impact
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| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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| 149 |
+
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| 150 |
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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 |
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| 152 |
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- **Hardware Type:** [More Information Needed]
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| 153 |
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- **Hours used:** [More Information Needed]
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| 154 |
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- **Cloud Provider:** [More Information Needed]
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| 155 |
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- **Compute Region:** [More Information Needed]
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| 156 |
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- **Carbon Emitted:** [More Information Needed]
|
| 157 |
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| 158 |
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## Technical Specifications [optional]
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| 159 |
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| 160 |
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### Model Architecture and Objective
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| 161 |
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| 162 |
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[More Information Needed]
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| 163 |
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| 164 |
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### Compute Infrastructure
|
| 165 |
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| 166 |
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[More Information Needed]
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| 167 |
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| 168 |
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#### Hardware
|
| 169 |
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| 170 |
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[More Information Needed]
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| 171 |
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#### Software
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| 173 |
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[More Information Needed]
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| 175 |
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## Citation [optional]
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| 177 |
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| 178 |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 179 |
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| 180 |
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**BibTeX:**
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| 181 |
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| 182 |
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[More Information Needed]
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| 183 |
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**APA:**
|
| 185 |
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| 186 |
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[More Information Needed]
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| 187 |
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| 188 |
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## Glossary [optional]
|
| 189 |
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|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 191 |
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[More Information Needed]
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| 193 |
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| 194 |
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## More Information [optional]
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| 195 |
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| 196 |
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[More Information Needed]
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| 197 |
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| 198 |
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## Model Card Authors [optional]
|
| 199 |
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| 200 |
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[More Information Needed]
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| 201 |
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| 202 |
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## Model Card Contact
|
| 203 |
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| 204 |
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[More Information Needed]
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| 205 |
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### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.21.0
|
qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/adapter_config.json
ADDED
|
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| 1 |
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{
|
| 2 |
+
"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
|
| 4 |
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"arrow_config": null,
|
| 5 |
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"auto_mapping": null,
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| 6 |
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"base_model_name_or_path": "Qwen/Qwen3.5-2B",
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| 7 |
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"bias": "none",
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| 8 |
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"corda_config": null,
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| 9 |
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"ensure_weight_tying": false,
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| 10 |
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"eva_config": null,
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| 11 |
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"exclude_modules": null,
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| 12 |
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"fan_in_fan_out": false,
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| 13 |
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"inference_mode": true,
|
| 14 |
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"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": 64,
|
| 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": 32,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"out_proj",
|
| 38 |
+
"v_proj",
|
| 39 |
+
"up_proj",
|
| 40 |
+
"in_proj_qkv",
|
| 41 |
+
"in_proj_b",
|
| 42 |
+
"in_proj_z",
|
| 43 |
+
"k_proj",
|
| 44 |
+
"q_proj",
|
| 45 |
+
"in_proj_a",
|
| 46 |
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"gate_proj"
|
| 47 |
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|
| 48 |
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"target_parameters": null,
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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"use_rslora": false,
|
| 55 |
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"velora_config": null
|
| 56 |
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}
|
qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 134604152
|
qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/best_metrics.json
ADDED
|
@@ -0,0 +1,4 @@
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|
| 1 |
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{
|
| 2 |
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"step": 1000,
|
| 3 |
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|
| 4 |
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|
qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 269426431
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qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/rng_state.pth
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 14645
|
qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1465
|
qwen3.5-2b-50pct-masked-weighted/best_checkpoint_wer/trainer_state.json
ADDED
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{
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{
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|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3.5-2B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen3.5-2B
|
| 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 0.21.0
|
qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/adapter_config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen3.5-2B",
|
| 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": 64,
|
| 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": 32,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"down_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"out_proj",
|
| 38 |
+
"v_proj",
|
| 39 |
+
"up_proj",
|
| 40 |
+
"in_proj_qkv",
|
| 41 |
+
"in_proj_b",
|
| 42 |
+
"in_proj_z",
|
| 43 |
+
"k_proj",
|
| 44 |
+
"q_proj",
|
| 45 |
+
"in_proj_a",
|
| 46 |
+
"gate_proj"
|
| 47 |
+
],
|
| 48 |
+
"target_parameters": null,
|
| 49 |
+
"task_type": "CAUSAL_LM",
|
| 50 |
+
"trainable_token_indices": null,
|
| 51 |
+
"use_bdlora": null,
|
| 52 |
+
"use_dora": false,
|
| 53 |
+
"use_qalora": false,
|
| 54 |
+
"use_rslora": false,
|
| 55 |
+
"velora_config": null
|
| 56 |
+
}
|
qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5c355b9758d25da25cd198145fefdcbabf96c8381dc3e00789d628ff12d935b2
|
| 3 |
+
size 134604152
|
qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87a42ad7610cdce89a745a148c3b9f478ca80c2d6be4bbec707af20112091abe
|
| 3 |
+
size 269426431
|
qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8372e63a426c4c2855a22732d06e8275ff2b5b5b4accbf12ba6a522510c9ee7d
|
| 3 |
+
size 14645
|
qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:34532159d3083a204b1ddf71a34daca30b5d985bb7d15860a5e34b3afa0bfec2
|
| 3 |
+
size 1465
|
qwen3.5-2b-50pct-masked-weighted/checkpoint-1000/trainer_state.json
ADDED
|
@@ -0,0 +1,734 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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tensorboard_logging_dir: outputs/qwen-mask-weighted/qwen3.5-2b-50pct-masked-weighted/tb
|
| 40 |
+
resume_from_checkpoint: false
|
| 41 |
+
lora_init_mode: fresh
|
| 42 |
+
init_lora_from: null
|
| 43 |
+
init_lora_from_subfolder: null
|
| 44 |
+
test_dataset_id: ErfanRou/callcc-test-1k
|
| 45 |
+
test_split: test
|
| 46 |
+
test_input_column: text_whisper
|
| 47 |
+
test_target_column: text
|
| 48 |
+
test_max_new_tokens: 1024
|
| 49 |
+
test_batch_size: 16
|
| 50 |
+
test_max_examples: null
|
| 51 |
+
test_checkpoint_max_examples: null
|
| 52 |
+
test_checkpoint_eval_main: false
|
| 53 |
+
test_hallucination_overlap_floor: 50.0
|
| 54 |
+
test_repetition_penalty: 1.0
|
| 55 |
+
test_no_repeat_ngram_size: 0
|
| 56 |
+
test_baseline: true
|
| 57 |
+
test_entity_dataset_id: PedramR/ASR_Post-processing-eval
|
| 58 |
+
test_typo_dataset_id: PedramR/ASR_Post-processing-eval
|
| 59 |
+
test_entity_row_type: entity
|
| 60 |
+
test_typo_row_type: typo
|
| 61 |
+
test_fix_weight: 0.5
|
qwen3.5-2b-50pct-masked-weighted/resolved_config.yaml
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model_id: Qwen/Qwen3.5-2B
|
| 2 |
+
data_config: configs/data/default.yaml
|
| 3 |
+
train_split: train
|
| 4 |
+
eval_split: null
|
| 5 |
+
eval_fraction: 0.1
|
| 6 |
+
train_fraction: 0.5
|
| 7 |
+
input_column: text_whisper
|
| 8 |
+
target_column: text
|
| 9 |
+
system_prompt: null
|
| 10 |
+
output_dir: outputs/qwen-mask-weighted/qwen3.5-2b-50pct-masked-weighted
|
| 11 |
+
max_length: 2048
|
| 12 |
+
on_long_example: drop
|
| 13 |
+
mask_low_signal_corrections: true
|
| 14 |
+
mask_min_similarity: 0.75
|
| 15 |
+
mask_max_common_freq: 1
|
| 16 |
+
recoverable_correction_weight: 3.0
|
| 17 |
+
training:
|
| 18 |
+
num_train_epochs: 2.0
|
| 19 |
+
per_device_train_batch_size: 2
|
| 20 |
+
per_device_eval_batch_size: 2
|
| 21 |
+
gradient_accumulation_steps: 8
|
| 22 |
+
learning_rate: 0.0001
|
| 23 |
+
warmup_ratio: 0.05
|
| 24 |
+
logging_steps: 10
|
| 25 |
+
eval_steps: 1000
|
| 26 |
+
save_steps: 1000
|
| 27 |
+
save_total_limit: 3
|
| 28 |
+
seed: 42
|
| 29 |
+
lora:
|
| 30 |
+
r: 32
|
| 31 |
+
alpha: 64
|
| 32 |
+
dropout: 0.05
|
| 33 |
+
quantization:
|
| 34 |
+
load_in_4bit: false
|
| 35 |
+
hub:
|
| 36 |
+
push_to_hub: true
|
| 37 |
+
repo_id: PedramR/ASR_Post-processing
|
| 38 |
+
folder: qwen3.5-2b-50pct-masked-weighted
|
| 39 |
+
private: false
|
| 40 |
+
tensorboard:
|
| 41 |
+
logging_dir: outputs/qwen-mask-weighted/qwen3.5-2b-50pct-masked-weighted/tb
|
| 42 |
+
test:
|
| 43 |
+
dataset_id: ErfanRou/callcc-test-1k
|
| 44 |
+
split: test
|
| 45 |
+
input_column: text_whisper
|
| 46 |
+
target_column: text
|
| 47 |
+
max_new_tokens: 1024
|
| 48 |
+
batch_size: 16
|
| 49 |
+
max_examples: null
|
| 50 |
+
checkpoint_max_examples: null
|
| 51 |
+
fix_weight: 0.5
|
| 52 |
+
checkpoint_eval_main: false
|
| 53 |
+
resume_from_checkpoint: false
|
| 54 |
+
use_unsloth: false
|
qwen3.5-2b-50pct-masked-weighted/tb/events.out.tfevents.1790426135.b0aacb224392.4711.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:85f106682ee3b33940d0fc6758d0dcb3a97c07d7e3b123ff12be14b8095c3acf
|
| 3 |
+
size 30303
|
qwen3.5-2b-50pct-masked-weighted/test_eval_baseline/metrics.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"wer": 0.2669905854225542,
|
| 3 |
+
"wer_zwnj_normalized": 0.25631724206316414,
|
| 4 |
+
"exact_match": 0.003033367037411527,
|
| 5 |
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"fix_rate": 0.028245578305891937,
|
| 6 |
+
"preservation_rate": 0.9054879169577001,
|
| 7 |
+
"targeted_score": 0.46686674763179603,
|
| 8 |
+
"fix_rate_lenient": 0.029970652369944093,
|
| 9 |
+
"preservation_rate_lenient": 0.9107829846480783,
|
| 10 |
+
"targeted_score_lenient": 0.4703768185090112,
|
| 11 |
+
"fix_rate_recoverable": 0.030331864316239316,
|
| 12 |
+
"unrecoverable_targets": 1089,
|
| 13 |
+
"hallucination_rate": 0.007077856420626896,
|
| 14 |
+
"n_examples": 1978
|
| 15 |
+
}
|
qwen3.5-2b-50pct-masked-weighted/test_eval_baseline/predictions.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
qwen3.5-2b-50pct-masked-weighted/test_eval_entity/metrics.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"wer": 0.7114996637525218,
|
| 3 |
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"wer_zwnj_normalized": 0.7087723230964657,
|
| 4 |
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"exact_match": 0.0019801980198019802,
|
| 5 |
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"fix_rate": 0.09490559539092588,
|
| 6 |
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"preservation_rate": 0.34338748592568763,
|
| 7 |
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"targeted_score": 0.21914654065830674,
|
| 8 |
+
"fix_rate_lenient": 0.09133004926108375,
|
| 9 |
+
"preservation_rate_lenient": 0.3451304158166866,
|
| 10 |
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"targeted_score_lenient": 0.21823023253888515,
|
| 11 |
+
"fix_rate_recoverable": 0.09265880308751295,
|
| 12 |
+
"unrecoverable_targets": 523,
|
| 13 |
+
"hallucination_rate": 0.00891089108910891,
|
| 14 |
+
"n_examples": 1010
|
| 15 |
+
}
|
qwen3.5-2b-50pct-masked-weighted/test_eval_entity/predictions.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
qwen3.5-2b-50pct-masked-weighted/test_eval_entity_baseline/metrics.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
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|
|
|
|
|
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|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"wer": 0.25836615749191405,
|
| 3 |
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"wer_zwnj_normalized": 0.2470725120355248,
|
| 4 |
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"exact_match": 0.0009900990099009901,
|
| 5 |
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"fix_rate": 0.028618843347841063,
|
| 6 |
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"preservation_rate": 0.9102010616052758,
|
| 7 |
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"targeted_score": 0.4694099524765584,
|
| 8 |
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"fix_rate_lenient": 0.030607553366174056,
|
| 9 |
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"preservation_rate_lenient": 0.9158680061070269,
|
| 10 |
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"targeted_score_lenient": 0.4732377797366005,
|
| 11 |
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"fix_rate_recoverable": 0.03097537340862766,
|
| 12 |
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"unrecoverable_targets": 523,
|
| 13 |
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"hallucination_rate": 0.005940594059405941,
|
| 14 |
+
"n_examples": 1010
|
| 15 |
+
}
|
qwen3.5-2b-50pct-masked-weighted/test_eval_entity_baseline/predictions.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
|
qwen3.5-2b-50pct-masked-weighted/test_eval_typo/metrics.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"wer": 0.5876286027928825,
|
| 3 |
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"wer_zwnj_normalized": 0.5829312501595568,
|
| 4 |
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"exact_match": 0.00558659217877095,
|
| 5 |
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"fix_rate": 0.15878247382706476,
|
| 6 |
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"preservation_rate": 0.459294975450563,
|
| 7 |
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"targeted_score": 0.3090387246388139,
|
| 8 |
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"fix_rate_lenient": 0.1542123783895674,
|
| 9 |
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"preservation_rate_lenient": 0.46072255266781914,
|
| 10 |
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"targeted_score_lenient": 0.30746746552869325,
|
| 11 |
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"fix_rate_recoverable": 0.15657839428331233,
|
| 12 |
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"unrecoverable_targets": 73,
|
| 13 |
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"hallucination_rate": 0.00558659217877095,
|
| 14 |
+
"n_examples": 358
|
| 15 |
+
}
|
qwen3.5-2b-50pct-masked-weighted/test_eval_typo/predictions.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
qwen3.5-2b-50pct-masked-weighted/test_eval_typo_baseline/metrics.json
ADDED
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@@ -0,0 +1,15 @@
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|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"wer": 0.19879502693319037,
|
| 3 |
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"wer_zwnj_normalized": 0.18631130172831942,
|
| 4 |
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"exact_match": 0.0,
|
| 5 |
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"fix_rate": 0.04226444358278403,
|
| 6 |
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"preservation_rate": 0.9286449298797519,
|
| 7 |
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"targeted_score": 0.48545468673126796,
|
| 8 |
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"fix_rate_lenient": 0.04533222935210102,
|
| 9 |
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"preservation_rate_lenient": 0.9356558938146444,
|
| 10 |
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"targeted_score_lenient": 0.4904940615833727,
|
| 11 |
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"fix_rate_recoverable": 0.046027742749054225,
|
| 12 |
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"unrecoverable_targets": 73,
|
| 13 |
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"hallucination_rate": 0.0111731843575419,
|
| 14 |
+
"n_examples": 358
|
| 15 |
+
}
|
qwen3.5-2b-50pct-masked-weighted/test_eval_typo_baseline/predictions.jsonl
ADDED
|
The diff for this file is too large to render.
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|
|
|