Upload folder using huggingface_hub
Browse files- checkpoint-2500/README.md +207 -0
- checkpoint-2500/adapter_config.json +44 -0
- checkpoint-2500/adapter_model.safetensors +3 -0
- checkpoint-2500/optimizer.pt +3 -0
- checkpoint-2500/preprocessor_config.json +15 -0
- checkpoint-2500/rng_state.pth +3 -0
- checkpoint-2500/scaler.pt +3 -0
- checkpoint-2500/scheduler.pt +3 -0
- checkpoint-2500/trainer_state.json +759 -0
- checkpoint-2500/training_args.bin +3 -0
- logs/events.out.tfevents.1762483946.f66a7246828a.93445.0 +3 -0
- wer_log.txt +5 -0
checkpoint-2500/README.md
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| 1 |
+
---
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+
base_model: unsloth/whisper-large-v3
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library_name: peft
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tags:
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- base_model:adapter:unsloth/whisper-large-v3
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- lora
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| 7 |
+
- transformers
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| 8 |
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- unsloth
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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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+
<!-- 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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+
## Model Details
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+
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+
### Model Description
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| 20 |
+
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+
<!-- Provide a longer summary of what this model is. -->
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| 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]
|
| 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]
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| 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 |
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|
| 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 |
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Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
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| 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. -->
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| 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 |
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|
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#### Preprocessing [optional]
|
| 94 |
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|
| 95 |
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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
|
| 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 -->
|
| 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 |
+
## Evaluation
|
| 109 |
+
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| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
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|
| 114 |
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#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
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|
| 122 |
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<!-- 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 |
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#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
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## 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 |
+
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| 164 |
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### Compute Infrastructure
|
| 165 |
+
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| 166 |
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[More Information Needed]
|
| 167 |
+
|
| 168 |
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#### Hardware
|
| 169 |
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| 170 |
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[More Information Needed]
|
| 171 |
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|
| 172 |
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#### 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 |
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|
| 186 |
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[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 |
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[More Information Needed]
|
| 193 |
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|
| 194 |
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## More Information [optional]
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| 195 |
+
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| 196 |
+
[More Information Needed]
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| 197 |
+
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| 198 |
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## Model Card Authors [optional]
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| 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
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| 203 |
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| 204 |
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[More Information Needed]
|
| 205 |
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### Framework versions
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| 206 |
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| 207 |
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- PEFT 0.17.1
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checkpoint-2500/adapter_config.json
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| 1 |
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{
|
| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": {
|
| 4 |
+
"base_model_class": "WhisperForConditionalGeneration",
|
| 5 |
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"parent_library": "transformers.models.whisper.modeling_whisper"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "unsloth/whisper-large-v3",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"corda_config": null,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 96,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.03,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
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"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 64,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"fc2",
|
| 32 |
+
"v_proj",
|
| 33 |
+
"k_proj",
|
| 34 |
+
"out_proj",
|
| 35 |
+
"fc1",
|
| 36 |
+
"q_proj"
|
| 37 |
+
],
|
| 38 |
+
"target_parameters": null,
|
| 39 |
+
"task_type": null,
|
| 40 |
+
"trainable_token_indices": null,
|
| 41 |
+
"use_dora": false,
|
| 42 |
+
"use_qalora": false,
|
| 43 |
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"use_rslora": false
|
| 44 |
+
}
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checkpoint-2500/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:501eb3d7f9f8b5311e533e02cb9d61628716511864ef95d036648054e454e03c
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| 3 |
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size 461518936
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checkpoint-2500/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7de45c75114dbb898af678502623f4b74e7281ae72bf5aefd9c066e3ba3512e6
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| 3 |
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size 923614691
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checkpoint-2500/preprocessor_config.json
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{
|
| 2 |
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"chunk_length": 30,
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| 3 |
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"dither": 0.0,
|
| 4 |
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"feature_extractor_type": "WhisperFeatureExtractor",
|
| 5 |
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"feature_size": 128,
|
| 6 |
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"hop_length": 160,
|
| 7 |
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"n_fft": 400,
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| 8 |
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"n_samples": 480000,
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| 9 |
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"nb_max_frames": 3000,
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"padding_side": "right",
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| 11 |
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"padding_value": 0.0,
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| 12 |
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"processor_class": "WhisperProcessor",
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| 13 |
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"return_attention_mask": false,
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| 14 |
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"sampling_rate": 16000
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| 15 |
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}
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checkpoint-2500/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7104350460c05ccddb4e2089ba6f3e04f93ac716a355855e44c838499173fa8
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size 14645
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checkpoint-2500/scaler.pt
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eeabe13d164dac8d378d855d727cd3376a2cd495027a3f2d372238b9d56b447a
|
| 3 |
+
size 1383
|
checkpoint-2500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:23d17d87e0a0a3a1c05689c14631ac4d16cf15d1ad2802c69ca29012ebb3f7c8
|
| 3 |
+
size 1465
|
checkpoint-2500/trainer_state.json
ADDED
|
@@ -0,0 +1,759 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 2500,
|
| 3 |
+
"best_metric": 25.988627552339103,
|
| 4 |
+
"best_model_checkpoint": "./whisper_hindi_improved_20251107_025049/checkpoint-2500",
|
| 5 |
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"epoch": 4.440888888888889,
|
| 6 |
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"eval_steps": 2500,
|
| 7 |
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"global_step": 2500,
|
| 8 |
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"is_hyper_param_search": false,
|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
|
| 12 |
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{
|
| 13 |
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"epoch": 0.0017777777777777779,
|
| 14 |
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"grad_norm": 2.3702774047851562,
|
| 15 |
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"learning_rate": 0.0,
|
| 16 |
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"loss": 1.709,
|
| 17 |
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"step": 1
|
| 18 |
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},
|
| 19 |
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{
|
| 20 |
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"epoch": 0.044444444444444446,
|
| 21 |
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"grad_norm": 1.9324116706848145,
|
| 22 |
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"learning_rate": 9.600000000000001e-07,
|
| 23 |
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"loss": 1.6572,
|
| 24 |
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"step": 25
|
| 25 |
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},
|
| 26 |
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{
|
| 27 |
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"epoch": 0.08888888888888889,
|
| 28 |
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"grad_norm": 1.2866696119308472,
|
| 29 |
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"learning_rate": 1.9600000000000003e-06,
|
| 30 |
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"loss": 1.4396,
|
| 31 |
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"step": 50
|
| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"epoch": 0.13333333333333333,
|
| 35 |
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"grad_norm": 1.3138173818588257,
|
| 36 |
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"learning_rate": 2.96e-06,
|
| 37 |
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"loss": 1.2875,
|
| 38 |
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"step": 75
|
| 39 |
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},
|
| 40 |
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{
|
| 41 |
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"epoch": 0.17777777777777778,
|
| 42 |
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"grad_norm": 1.7148733139038086,
|
| 43 |
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"learning_rate": 3.96e-06,
|
| 44 |
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"loss": 1.1774,
|
| 45 |
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"step": 100
|
| 46 |
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},
|
| 47 |
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{
|
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=== WER Training Log ===
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Model: openai/whisper-large-v3
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Language: Hindi
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Step 2500: WER=25.9886%, Loss=0.2027
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