Checkpoint at step 4270
Browse files- checkpoint-4270/README.md +206 -0
- checkpoint-4270/adapter_config.json +46 -0
- checkpoint-4270/adapter_model.safetensors +3 -0
- checkpoint-4270/optimizer.pt +3 -0
- checkpoint-4270/preprocessor_config.json +14 -0
- checkpoint-4270/rng_state.pth +3 -0
- checkpoint-4270/scheduler.pt +3 -0
- checkpoint-4270/trainer_state.json +1385 -0
- checkpoint-4270/training_args.bin +3 -0
checkpoint-4270/README.md
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---
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base_model: bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium
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library_name: peft
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tags:
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- base_model:adapter:bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium
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- lora
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- transformers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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+
<!-- Provide a longer summary of what this model is. -->
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| 22 |
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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| 27 |
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- **Model type:** [More Information Needed]
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| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
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| 29 |
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- **License:** [More Information Needed]
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| 30 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 31 |
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| 32 |
+
### Model Sources [optional]
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| 33 |
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| 34 |
+
<!-- Provide the basic links for the model. -->
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| 35 |
+
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| 36 |
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- **Repository:** [More Information Needed]
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| 37 |
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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| 39 |
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| 40 |
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## Uses
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+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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| 45 |
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| 46 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 47 |
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| 48 |
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[More Information Needed]
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| 49 |
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| 50 |
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### Downstream Use [optional]
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| 51 |
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| 52 |
+
<!-- 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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| 53 |
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| 54 |
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[More Information Needed]
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| 55 |
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|
| 56 |
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### Out-of-Scope Use
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| 57 |
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| 58 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 60 |
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[More Information Needed]
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| 61 |
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## Bias, Risks, and Limitations
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| 63 |
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| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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| 67 |
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| 68 |
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### Recommendations
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| 69 |
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| 70 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 73 |
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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| 81 |
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### Training Data
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| 83 |
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| 84 |
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<!-- 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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[More Information Needed]
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### Training Procedure
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<!-- 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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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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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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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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| 126 |
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| 127 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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| 132 |
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[More Information Needed]
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| 134 |
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#### Summary
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| 136 |
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## Model Examination [optional]
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| 140 |
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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| 146 |
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<!-- 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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| 148 |
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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).
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| 150 |
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- **Hardware Type:** [More Information Needed]
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| 152 |
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- **Hours used:** [More Information Needed]
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| 153 |
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- **Cloud Provider:** [More Information Needed]
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| 154 |
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- **Compute Region:** [More Information Needed]
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| 155 |
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- **Carbon Emitted:** [More Information Needed]
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| 156 |
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## Technical Specifications [optional]
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| 158 |
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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| 164 |
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[More Information Needed]
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| 166 |
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#### Hardware
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| 168 |
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[More Information Needed]
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| 170 |
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#### Software
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| 172 |
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[More Information Needed]
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| 174 |
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## Citation [optional]
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| 176 |
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| 177 |
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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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| 178 |
+
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**BibTeX:**
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| 180 |
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[More Information Needed]
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| 182 |
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| 183 |
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**APA:**
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| 184 |
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| 185 |
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[More Information Needed]
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| 186 |
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| 187 |
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## Glossary [optional]
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| 188 |
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| 189 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 190 |
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[More Information Needed]
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| 192 |
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## More Information [optional]
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| 194 |
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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| 203 |
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[More Information Needed]
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| 204 |
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### Framework versions
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- PEFT 0.18.2.dev0
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checkpoint-4270/adapter_config.json
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{
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| 2 |
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"alora_invocation_tokens": null,
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| 3 |
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"alpha_pattern": {},
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| 4 |
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"arrow_config": null,
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| 5 |
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"auto_mapping": {
|
| 6 |
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"base_model_class": "WhisperForConditionalGeneration",
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| 7 |
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"parent_library": "transformers.models.whisper.modeling_whisper"
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| 8 |
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},
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| 9 |
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"base_model_name_or_path": "bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium",
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| 10 |
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"bias": "none",
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| 11 |
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"corda_config": null,
|
| 12 |
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"ensure_weight_tying": false,
|
| 13 |
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"eva_config": null,
|
| 14 |
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"exclude_modules": null,
|
| 15 |
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"fan_in_fan_out": false,
|
| 16 |
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"inference_mode": true,
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| 17 |
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"init_lora_weights": true,
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| 18 |
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"layer_replication": null,
|
| 19 |
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"layers_pattern": null,
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| 20 |
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"layers_to_transform": null,
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| 21 |
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"loftq_config": {},
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| 22 |
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"lora_alpha": 64,
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| 23 |
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"lora_bias": false,
|
| 24 |
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"lora_dropout": 0.05,
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| 25 |
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"lora_ga_config": null,
|
| 26 |
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"megatron_config": null,
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| 27 |
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"megatron_core": "megatron.core",
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| 28 |
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"modules_to_save": null,
|
| 29 |
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"peft_type": "LORA",
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| 30 |
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"peft_version": "0.18.2.dev0@2cd96ed041620f74d239a0ce3f16207153c43413",
|
| 31 |
+
"qalora_group_size": 16,
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| 32 |
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"r": 32,
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| 33 |
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"rank_pattern": {},
|
| 34 |
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"revision": null,
|
| 35 |
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"target_modules": [
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| 36 |
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"v_proj",
|
| 37 |
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"q_proj"
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| 38 |
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],
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| 39 |
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"target_parameters": null,
|
| 40 |
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"task_type": null,
|
| 41 |
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"trainable_token_indices": null,
|
| 42 |
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"use_bdlora": null,
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| 43 |
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"use_dora": false,
|
| 44 |
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"use_qalora": false,
|
| 45 |
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"use_rslora": false
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| 46 |
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}
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checkpoint-4270/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:198f2d70de26a208827539f44b35b741abbe827a886d743fc52fc65631500879
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size 37789960
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checkpoint-4270/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab7be88f07ef55b72003c1190755d876c96f9e7a8afe5c47aca409bffeee4319
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| 3 |
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size 50493579
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checkpoint-4270/preprocessor_config.json
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{
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"chunk_length": 30,
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| 3 |
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"feature_extractor_type": "WhisperFeatureExtractor",
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| 4 |
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"feature_size": 80,
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| 5 |
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"hop_length": 160,
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| 6 |
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"n_fft": 400,
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"n_samples": 480000,
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"nb_max_frames": 3000,
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| 9 |
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"padding_side": "right",
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| 10 |
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"padding_value": 0.0,
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| 11 |
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"processor_class": "WhisperProcessor",
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| 12 |
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"return_attention_mask": false,
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| 13 |
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"sampling_rate": 16000
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| 14 |
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}
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checkpoint-4270/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0b49f015dc54a1de5a5634c2ed140f29f46128e54116e388ffdf20b1d4166c35
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| 3 |
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size 14709
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checkpoint-4270/scheduler.pt
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:ae8018aa44b1582a8af42abe6da26bf0d8793c7b7232a02379bbe5fbaac0d738
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| 3 |
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size 1465
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checkpoint-4270/trainer_state.json
ADDED
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@@ -0,0 +1,1385 @@
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