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- LoRA_Test/checkpoint-1000/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-1000/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-1000/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-1500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-1500/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-1500/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-2000/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-2000/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-2000/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-2500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-2500/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-2500/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-3000/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-3000/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-3000/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-3500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-3500/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-3500/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-4000/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-4000/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-4000/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-4500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-4500/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-4500/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-500/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-500/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-5000/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-5000/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-5000/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-5500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-5500/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-5500/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-6000/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-6000/adapter_model/adapter_config.json +0 -32
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- LoRA_Test/checkpoint-6500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-6500/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-6500/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-7000/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-7000/adapter_model/adapter_config.json +0 -32
- LoRA_Test/checkpoint-7000/adapter_model/adapter_model.safetensors +0 -3
- LoRA_Test/checkpoint-7500/adapter_model/README.md +0 -202
- LoRA_Test/checkpoint-7500/adapter_model/adapter_config.json +0 -32
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LoRA_Test/checkpoint-1000/adapter_model/README.md
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---
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base_model: openai/whisper-large-v3
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library_name: peft
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---
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# Model Card for Model ID
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## Model Details
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### Model Description
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### Model Sources [optional]
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## Uses
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### Direct Use
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[More Information Needed]
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### Downstream Use [optional]
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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### Recommendations
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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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## 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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## Training Details
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### Training Data
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### Training Procedure
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#### Preprocessing [optional]
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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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## Evaluation
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### Results
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#### Summary
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## Model Examination [optional]
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## Environmental Impact
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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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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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#### Hardware
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#### Software
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## Citation [optional]
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**BibTeX:**
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## Glossary [optional]
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## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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### Framework versions
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- PEFT 0.11.1
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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version https://git-lfs.github.com/spec/v1
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oid sha256:41c8d354a99f421415ac0a0d3cf0acb4cad756660fe25338b545676102eb7149
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size 31512224
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base_model: openai/whisper-large-v3
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library_name: peft
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---
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# Model Card for Model ID
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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. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
|
| 28 |
-
### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
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| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
-
- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
|
| 35 |
-
|
| 36 |
-
## Uses
|
| 37 |
-
|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
-
|
| 40 |
-
### Direct Use
|
| 41 |
-
|
| 42 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
-
|
| 44 |
-
[More Information Needed]
|
| 45 |
-
|
| 46 |
-
### Downstream Use [optional]
|
| 47 |
-
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| 48 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
-
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| 50 |
-
[More Information Needed]
|
| 51 |
-
|
| 52 |
-
### Out-of-Scope Use
|
| 53 |
-
|
| 54 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
-
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| 56 |
-
[More Information Needed]
|
| 57 |
-
|
| 58 |
-
## Bias, Risks, and Limitations
|
| 59 |
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|
| 60 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
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| 62 |
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[More Information Needed]
|
| 63 |
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|
| 64 |
-
### Recommendations
|
| 65 |
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|
| 66 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
|
| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
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| 76 |
-
## Training Details
|
| 77 |
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| 78 |
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### Training Data
|
| 79 |
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| 80 |
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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. -->
|
| 81 |
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| 82 |
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[More Information Needed]
|
| 83 |
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|
| 84 |
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### Training Procedure
|
| 85 |
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|
| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
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| 88 |
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#### Preprocessing [optional]
|
| 89 |
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| 90 |
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[More Information Needed]
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| 91 |
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| 92 |
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| 93 |
-
#### Training Hyperparameters
|
| 94 |
-
|
| 95 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
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| 104 |
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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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| 108 |
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#### Testing Data
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| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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[More Information Needed]
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| 114 |
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| 115 |
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#### Factors
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| 116 |
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| 117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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| 118 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
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| 122 |
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| 123 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 124 |
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| 125 |
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[More Information Needed]
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| 126 |
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| 127 |
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### Results
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| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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| 131 |
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#### Summary
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| 132 |
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| 134 |
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| 135 |
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## Model Examination [optional]
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| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
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| 138 |
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| 139 |
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[More Information Needed]
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| 140 |
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|
| 141 |
-
## Environmental Impact
|
| 142 |
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|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
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).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
- **Cloud Provider:** [More Information Needed]
|
| 150 |
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- **Compute Region:** [More Information Needed]
|
| 151 |
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- **Carbon Emitted:** [More Information Needed]
|
| 152 |
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| 153 |
-
## Technical Specifications [optional]
|
| 154 |
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|
| 155 |
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### Model Architecture and Objective
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| 156 |
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| 157 |
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[More Information Needed]
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| 158 |
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|
| 159 |
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### Compute Infrastructure
|
| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
|
| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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|
| 167 |
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#### Software
|
| 168 |
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| 169 |
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[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
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|
| 175 |
-
**BibTeX:**
|
| 176 |
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| 177 |
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[More Information Needed]
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| 178 |
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| 179 |
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**APA:**
|
| 180 |
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| 181 |
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[More Information Needed]
|
| 182 |
-
|
| 183 |
-
## Glossary [optional]
|
| 184 |
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|
| 185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
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| 187 |
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[More Information Needed]
|
| 188 |
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|
| 189 |
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## More Information [optional]
|
| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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|
| 193 |
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## Model Card Authors [optional]
|
| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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|
| 197 |
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## Model Card Contact
|
| 198 |
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|
| 199 |
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[More Information Needed]
|
| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.11.1
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LoRA_Test/checkpoint-1500/adapter_model/adapter_config.json
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@@ -1,32 +0,0 @@
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{
|
| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": {
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| 4 |
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
|
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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| 9 |
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
|
| 17 |
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"lora_dropout": 0.0,
|
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"megatron_config": null,
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| 19 |
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"megatron_core": "megatron.core",
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| 20 |
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"modules_to_save": null,
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| 21 |
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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| 24 |
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"revision": null,
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"target_modules": [
|
| 26 |
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"v_proj",
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| 27 |
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"q_proj"
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LoRA_Test/checkpoint-1500/adapter_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:927fc7f6cc592340eae2d46d942013441adabadcd541d7fdbb1741788ec1eadb
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size 31512224
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LoRA_Test/checkpoint-2000/adapter_model/README.md
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---
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| 2 |
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base_model: openai/whisper-large-v3
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| 3 |
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library_name: peft
|
| 4 |
-
---
|
| 5 |
-
|
| 6 |
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# Model Card for Model ID
|
| 7 |
-
|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
## Model Details
|
| 13 |
-
|
| 14 |
-
### Model Description
|
| 15 |
-
|
| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
|
| 28 |
-
### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
-
|
| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
-
- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
|
| 35 |
-
|
| 36 |
-
## Uses
|
| 37 |
-
|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
-
|
| 40 |
-
### Direct Use
|
| 41 |
-
|
| 42 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
-
|
| 44 |
-
[More Information Needed]
|
| 45 |
-
|
| 46 |
-
### Downstream Use [optional]
|
| 47 |
-
|
| 48 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
-
|
| 50 |
-
[More Information Needed]
|
| 51 |
-
|
| 52 |
-
### Out-of-Scope Use
|
| 53 |
-
|
| 54 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
-
|
| 56 |
-
[More Information Needed]
|
| 57 |
-
|
| 58 |
-
## Bias, Risks, and Limitations
|
| 59 |
-
|
| 60 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
-
|
| 62 |
-
[More Information Needed]
|
| 63 |
-
|
| 64 |
-
### Recommendations
|
| 65 |
-
|
| 66 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
|
| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
-
|
| 76 |
-
## Training Details
|
| 77 |
-
|
| 78 |
-
### Training Data
|
| 79 |
-
|
| 80 |
-
<!-- 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. -->
|
| 81 |
-
|
| 82 |
-
[More Information Needed]
|
| 83 |
-
|
| 84 |
-
### Training Procedure
|
| 85 |
-
|
| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
-
|
| 88 |
-
#### Preprocessing [optional]
|
| 89 |
-
|
| 90 |
-
[More Information Needed]
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
#### Training Hyperparameters
|
| 94 |
-
|
| 95 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
-
|
| 97 |
-
#### Speeds, Sizes, Times [optional]
|
| 98 |
-
|
| 99 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
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| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
-
## Evaluation
|
| 104 |
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| 105 |
-
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
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| 107 |
-
### Testing Data, Factors & Metrics
|
| 108 |
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| 109 |
-
#### Testing Data
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| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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| 113 |
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[More Information Needed]
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| 114 |
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| 115 |
-
#### Factors
|
| 116 |
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|
| 117 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
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| 119 |
-
[More Information Needed]
|
| 120 |
-
|
| 121 |
-
#### Metrics
|
| 122 |
-
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| 123 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
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| 125 |
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[More Information Needed]
|
| 126 |
-
|
| 127 |
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### Results
|
| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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| 131 |
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#### Summary
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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## Model Examination [optional]
|
| 136 |
-
|
| 137 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
-
[More Information Needed]
|
| 140 |
-
|
| 141 |
-
## Environmental Impact
|
| 142 |
-
|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
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).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
- **Cloud Provider:** [More Information Needed]
|
| 150 |
-
- **Compute Region:** [More Information Needed]
|
| 151 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
-
|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
-
[More Information Needed]
|
| 162 |
-
|
| 163 |
-
#### Hardware
|
| 164 |
-
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| 165 |
-
[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
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| 169 |
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[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
-
|
| 175 |
-
**BibTeX:**
|
| 176 |
-
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| 177 |
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[More Information Needed]
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| 178 |
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| 179 |
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**APA:**
|
| 180 |
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| 181 |
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[More Information Needed]
|
| 182 |
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|
| 183 |
-
## Glossary [optional]
|
| 184 |
-
|
| 185 |
-
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
-
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| 187 |
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[More Information Needed]
|
| 188 |
-
|
| 189 |
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## More Information [optional]
|
| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
|
| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
|
| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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### Framework versions
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- PEFT 0.11.1
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LoRA_Test/checkpoint-2000/adapter_model/adapter_config.json
DELETED
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@@ -1,32 +0,0 @@
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{
|
| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": {
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| 4 |
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
|
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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LoRA_Test/checkpoint-2000/adapter_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa2cf831536ed36f5b713cdfa21d6c956c6f6bfbed82cd6d34a5b44dd3c4900e
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size 31512224
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LoRA_Test/checkpoint-2500/adapter_model/README.md
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---
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base_model: openai/whisper-large-v3
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| 3 |
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library_name: peft
|
| 4 |
-
---
|
| 5 |
-
|
| 6 |
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# Model Card for Model ID
|
| 7 |
-
|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
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| 10 |
-
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| 11 |
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|
| 12 |
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## Model Details
|
| 13 |
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| 14 |
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### Model Description
|
| 15 |
-
|
| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
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| 18 |
-
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| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
|
| 28 |
-
### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
-
|
| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
-
- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
|
| 35 |
-
|
| 36 |
-
## Uses
|
| 37 |
-
|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
-
|
| 40 |
-
### Direct Use
|
| 41 |
-
|
| 42 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
-
|
| 44 |
-
[More Information Needed]
|
| 45 |
-
|
| 46 |
-
### Downstream Use [optional]
|
| 47 |
-
|
| 48 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
-
|
| 50 |
-
[More Information Needed]
|
| 51 |
-
|
| 52 |
-
### Out-of-Scope Use
|
| 53 |
-
|
| 54 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
-
|
| 56 |
-
[More Information Needed]
|
| 57 |
-
|
| 58 |
-
## Bias, Risks, and Limitations
|
| 59 |
-
|
| 60 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
-
|
| 62 |
-
[More Information Needed]
|
| 63 |
-
|
| 64 |
-
### Recommendations
|
| 65 |
-
|
| 66 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
|
| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
-
|
| 76 |
-
## Training Details
|
| 77 |
-
|
| 78 |
-
### Training Data
|
| 79 |
-
|
| 80 |
-
<!-- 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. -->
|
| 81 |
-
|
| 82 |
-
[More Information Needed]
|
| 83 |
-
|
| 84 |
-
### Training Procedure
|
| 85 |
-
|
| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
-
|
| 88 |
-
#### Preprocessing [optional]
|
| 89 |
-
|
| 90 |
-
[More Information Needed]
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
#### Training Hyperparameters
|
| 94 |
-
|
| 95 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
-
|
| 97 |
-
#### Speeds, Sizes, Times [optional]
|
| 98 |
-
|
| 99 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
-
|
| 101 |
-
[More Information Needed]
|
| 102 |
-
|
| 103 |
-
## Evaluation
|
| 104 |
-
|
| 105 |
-
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
-
|
| 107 |
-
### Testing Data, Factors & Metrics
|
| 108 |
-
|
| 109 |
-
#### Testing Data
|
| 110 |
-
|
| 111 |
-
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
-
|
| 113 |
-
[More Information Needed]
|
| 114 |
-
|
| 115 |
-
#### Factors
|
| 116 |
-
|
| 117 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
-
|
| 119 |
-
[More Information Needed]
|
| 120 |
-
|
| 121 |
-
#### Metrics
|
| 122 |
-
|
| 123 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
-
|
| 125 |
-
[More Information Needed]
|
| 126 |
-
|
| 127 |
-
### Results
|
| 128 |
-
|
| 129 |
-
[More Information Needed]
|
| 130 |
-
|
| 131 |
-
#### Summary
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
## Model Examination [optional]
|
| 136 |
-
|
| 137 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
-
[More Information Needed]
|
| 140 |
-
|
| 141 |
-
## Environmental Impact
|
| 142 |
-
|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
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).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
- **Cloud Provider:** [More Information Needed]
|
| 150 |
-
- **Compute Region:** [More Information Needed]
|
| 151 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
-
|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
-
[More Information Needed]
|
| 162 |
-
|
| 163 |
-
#### Hardware
|
| 164 |
-
|
| 165 |
-
[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
|
| 169 |
-
[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
-
|
| 175 |
-
**BibTeX:**
|
| 176 |
-
|
| 177 |
-
[More Information Needed]
|
| 178 |
-
|
| 179 |
-
**APA:**
|
| 180 |
-
|
| 181 |
-
[More Information Needed]
|
| 182 |
-
|
| 183 |
-
## Glossary [optional]
|
| 184 |
-
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| 185 |
-
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
-
|
| 187 |
-
[More Information Needed]
|
| 188 |
-
|
| 189 |
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## More Information [optional]
|
| 190 |
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| 191 |
-
[More Information Needed]
|
| 192 |
-
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| 193 |
-
## Model Card Authors [optional]
|
| 194 |
-
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| 195 |
-
[More Information Needed]
|
| 196 |
-
|
| 197 |
-
## Model Card Contact
|
| 198 |
-
|
| 199 |
-
[More Information Needed]
|
| 200 |
-
### Framework versions
|
| 201 |
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| 202 |
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- PEFT 0.11.1
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LoRA_Test/checkpoint-2500/adapter_model/adapter_config.json
DELETED
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@@ -1,32 +0,0 @@
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| 1 |
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{
|
| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": {
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| 4 |
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"base_model_class": "WhisperForConditionalGeneration",
|
| 5 |
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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| 9 |
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"fan_in_fan_out": false,
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| 10 |
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"inference_mode": true,
|
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"init_lora_weights": true,
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| 12 |
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"layer_replication": null,
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
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| 15 |
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"loftq_config": {},
|
| 16 |
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"lora_alpha": 32,
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| 17 |
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"lora_dropout": 0.0,
|
| 18 |
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"megatron_config": null,
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| 19 |
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"megatron_core": "megatron.core",
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| 20 |
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"modules_to_save": null,
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| 21 |
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"peft_type": "LORA",
|
| 22 |
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"r": 16,
|
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"rank_pattern": {},
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| 24 |
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": null,
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"use_rslora": false
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LoRA_Test/checkpoint-2500/adapter_model/adapter_model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:3df25f7e5c8ed9f90e6f0367f5164f1f392edab7dedabdc077bb3a839d2a0545
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size 31512224
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LoRA_Test/checkpoint-3000/adapter_model/README.md
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| 1 |
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---
|
| 2 |
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base_model: openai/whisper-large-v3
|
| 3 |
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library_name: peft
|
| 4 |
-
---
|
| 5 |
-
|
| 6 |
-
# Model Card for Model ID
|
| 7 |
-
|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
## Model Details
|
| 13 |
-
|
| 14 |
-
### Model Description
|
| 15 |
-
|
| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
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| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
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|
| 28 |
-
### Model Sources [optional]
|
| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
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| 35 |
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|
| 36 |
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## Uses
|
| 37 |
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|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
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|
| 40 |
-
### Direct Use
|
| 41 |
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| 42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
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|
| 44 |
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[More Information Needed]
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| 45 |
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### Downstream Use [optional]
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| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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[More Information Needed]
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### Out-of-Scope Use
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| 53 |
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| 54 |
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|
| 55 |
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| 56 |
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[More Information Needed]
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| 58 |
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## Bias, Risks, and Limitations
|
| 59 |
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| 60 |
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|
| 61 |
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|
| 62 |
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[More Information Needed]
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| 64 |
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### Recommendations
|
| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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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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| 69 |
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|
| 70 |
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## How to Get Started with the Model
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| 71 |
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|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
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|
| 74 |
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[More Information Needed]
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| 75 |
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| 76 |
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## Training Details
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### Training Data
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| 82 |
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[More Information Needed]
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| 84 |
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### Training Procedure
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|
| 86 |
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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. -->
|
| 87 |
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|
| 88 |
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#### Preprocessing [optional]
|
| 89 |
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|
| 90 |
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[More Information Needed]
|
| 91 |
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| 92 |
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| 93 |
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#### Training Hyperparameters
|
| 94 |
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|
| 95 |
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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 -->
|
| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
|
| 98 |
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| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
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|
| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
|
| 104 |
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|
| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
-
|
| 107 |
-
### Testing Data, Factors & Metrics
|
| 108 |
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|
| 109 |
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#### Testing Data
|
| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
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| 113 |
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[More Information Needed]
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#### Factors
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|
| 118 |
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|
| 119 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
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| 122 |
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| 123 |
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|
| 124 |
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|
| 125 |
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[More Information Needed]
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| 126 |
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| 127 |
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### Results
|
| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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| 131 |
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#### Summary
|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
-
## Model Examination [optional]
|
| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
-
[More Information Needed]
|
| 140 |
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| 141 |
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## Environmental Impact
|
| 142 |
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| 143 |
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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 -->
|
| 144 |
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|
| 145 |
-
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).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
|
| 148 |
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| 149 |
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- **Compute Region:** [More Information Needed]
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| 151 |
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- **Carbon Emitted:** [More Information Needed]
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| 152 |
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|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
-
[More Information Needed]
|
| 162 |
-
|
| 163 |
-
#### Hardware
|
| 164 |
-
|
| 165 |
-
[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
|
| 169 |
-
[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
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|
| 175 |
-
**BibTeX:**
|
| 176 |
-
|
| 177 |
-
[More Information Needed]
|
| 178 |
-
|
| 179 |
-
**APA:**
|
| 180 |
-
|
| 181 |
-
[More Information Needed]
|
| 182 |
-
|
| 183 |
-
## Glossary [optional]
|
| 184 |
-
|
| 185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
-
|
| 187 |
-
[More Information Needed]
|
| 188 |
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|
| 189 |
-
## More Information [optional]
|
| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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| 193 |
-
## Model Card Authors [optional]
|
| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
-
|
| 197 |
-
## Model Card Contact
|
| 198 |
-
|
| 199 |
-
[More Information Needed]
|
| 200 |
-
### Framework versions
|
| 201 |
-
|
| 202 |
-
- PEFT 0.11.1
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LoRA_Test/checkpoint-3000/adapter_model/adapter_config.json
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{
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"alpha_pattern": {},
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"parent_library": "transformers.models.whisper.modeling_whisper"
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version https://git-lfs.github.com/spec/v1
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---
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base_model: openai/whisper-large-v3
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library_name: peft
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-
---
|
| 5 |
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# Model Card for Model ID
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### Model Description
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## Citation [optional]
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| 200 |
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### Framework versions
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| 201 |
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- PEFT 0.11.1
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LoRA_Test/checkpoint-3500/adapter_model/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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"fan_in_fan_out": false,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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LoRA_Test/checkpoint-4000/adapter_model/README.md
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---
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base_model: openai/whisper-large-v3
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library_name: peft
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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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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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## Uses
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### Direct Use
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[More Information Needed]
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### Downstream Use [optional]
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<!-- 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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[More Information Needed]
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### Out-of-Scope Use
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[More Information Needed]
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## Bias, Risks, and Limitations
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[More Information Needed]
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### Recommendations
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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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## 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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### Training Data
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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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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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[More Information Needed]
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## Environmental Impact
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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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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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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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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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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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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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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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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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[More Information Needed]
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## More Information [optional]
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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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[More Information Needed]
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### Framework versions
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- PEFT 0.11.1
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LoRA_Test/checkpoint-4000/adapter_model/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
|
| 20 |
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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LoRA_Test/checkpoint-4000/adapter_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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LoRA_Test/checkpoint-4500/adapter_model/README.md
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---
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base_model: openai/whisper-large-v3
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library_name: peft
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| 4 |
-
---
|
| 5 |
-
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| 6 |
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# Model Card for Model ID
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| 7 |
-
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| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
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| 10 |
-
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| 11 |
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| 12 |
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## Model Details
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| 13 |
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### Model Description
|
| 15 |
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| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
|
| 28 |
-
### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
-
|
| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
-
- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
|
| 35 |
-
|
| 36 |
-
## Uses
|
| 37 |
-
|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
-
|
| 40 |
-
### Direct Use
|
| 41 |
-
|
| 42 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
-
|
| 44 |
-
[More Information Needed]
|
| 45 |
-
|
| 46 |
-
### Downstream Use [optional]
|
| 47 |
-
|
| 48 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
-
|
| 50 |
-
[More Information Needed]
|
| 51 |
-
|
| 52 |
-
### Out-of-Scope Use
|
| 53 |
-
|
| 54 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
-
|
| 56 |
-
[More Information Needed]
|
| 57 |
-
|
| 58 |
-
## Bias, Risks, and Limitations
|
| 59 |
-
|
| 60 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
-
|
| 62 |
-
[More Information Needed]
|
| 63 |
-
|
| 64 |
-
### Recommendations
|
| 65 |
-
|
| 66 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
|
| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
-
|
| 76 |
-
## Training Details
|
| 77 |
-
|
| 78 |
-
### Training Data
|
| 79 |
-
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[More Information Needed]
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| 83 |
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| 84 |
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### Training Procedure
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| 85 |
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| 86 |
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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. -->
|
| 87 |
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| 88 |
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#### Preprocessing [optional]
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| 89 |
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[More Information Needed]
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| 93 |
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#### Training Hyperparameters
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| 94 |
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| 95 |
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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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| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
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| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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### Testing Data, Factors & Metrics
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| 108 |
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#### Testing Data
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| 110 |
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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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| 116 |
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| 117 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
|
| 122 |
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| 123 |
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
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[More Information Needed]
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| 126 |
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| 127 |
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### Results
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| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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| 131 |
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#### Summary
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| 132 |
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| 134 |
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## Model Examination [optional]
|
| 136 |
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| 137 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
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| 139 |
-
[More Information Needed]
|
| 140 |
-
|
| 141 |
-
## Environmental Impact
|
| 142 |
-
|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
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).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
- **Cloud Provider:** [More Information Needed]
|
| 150 |
-
- **Compute Region:** [More Information Needed]
|
| 151 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
-
|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
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| 157 |
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[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
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| 161 |
-
[More Information Needed]
|
| 162 |
-
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| 163 |
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#### Hardware
|
| 164 |
-
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
-
#### Software
|
| 168 |
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| 169 |
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[More Information Needed]
|
| 170 |
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|
| 171 |
-
## Citation [optional]
|
| 172 |
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|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
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| 175 |
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**BibTeX:**
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| 176 |
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[More Information Needed]
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**APA:**
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| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
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| 183 |
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## Glossary [optional]
|
| 184 |
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| 185 |
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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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| 186 |
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| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 190 |
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[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
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| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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### Framework versions
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- PEFT 0.11.1
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LoRA_Test/checkpoint-4500/adapter_model/adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"target_modules": [
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LoRA_Test/checkpoint-4500/adapter_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b292bc700627b66da5c0e588cd0490ec805fd5f5d0ec4b0717151efac889ce0
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---
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base_model: openai/whisper-large-v3
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library_name: peft
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| 4 |
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---
|
| 5 |
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|
| 6 |
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# Model Card for Model ID
|
| 7 |
-
|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
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| 10 |
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| 11 |
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| 12 |
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## Model Details
|
| 13 |
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| 14 |
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### Model Description
|
| 15 |
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| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
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| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
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- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
|
| 28 |
-
### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
-
|
| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
-
- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
|
| 35 |
-
|
| 36 |
-
## Uses
|
| 37 |
-
|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
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|
| 40 |
-
### Direct Use
|
| 41 |
-
|
| 42 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
-
|
| 44 |
-
[More Information Needed]
|
| 45 |
-
|
| 46 |
-
### Downstream Use [optional]
|
| 47 |
-
|
| 48 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
-
|
| 50 |
-
[More Information Needed]
|
| 51 |
-
|
| 52 |
-
### Out-of-Scope Use
|
| 53 |
-
|
| 54 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
-
|
| 56 |
-
[More Information Needed]
|
| 57 |
-
|
| 58 |
-
## Bias, Risks, and Limitations
|
| 59 |
-
|
| 60 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
-
|
| 62 |
-
[More Information Needed]
|
| 63 |
-
|
| 64 |
-
### Recommendations
|
| 65 |
-
|
| 66 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
|
| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
-
|
| 76 |
-
## Training Details
|
| 77 |
-
|
| 78 |
-
### Training Data
|
| 79 |
-
|
| 80 |
-
<!-- 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. -->
|
| 81 |
-
|
| 82 |
-
[More Information Needed]
|
| 83 |
-
|
| 84 |
-
### Training Procedure
|
| 85 |
-
|
| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
-
|
| 88 |
-
#### Preprocessing [optional]
|
| 89 |
-
|
| 90 |
-
[More Information Needed]
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
#### Training Hyperparameters
|
| 94 |
-
|
| 95 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
-
|
| 97 |
-
#### Speeds, Sizes, Times [optional]
|
| 98 |
-
|
| 99 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
-
|
| 101 |
-
[More Information Needed]
|
| 102 |
-
|
| 103 |
-
## Evaluation
|
| 104 |
-
|
| 105 |
-
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
-
|
| 107 |
-
### Testing Data, Factors & Metrics
|
| 108 |
-
|
| 109 |
-
#### Testing Data
|
| 110 |
-
|
| 111 |
-
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
-
|
| 113 |
-
[More Information Needed]
|
| 114 |
-
|
| 115 |
-
#### Factors
|
| 116 |
-
|
| 117 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
-
|
| 119 |
-
[More Information Needed]
|
| 120 |
-
|
| 121 |
-
#### Metrics
|
| 122 |
-
|
| 123 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
-
|
| 125 |
-
[More Information Needed]
|
| 126 |
-
|
| 127 |
-
### Results
|
| 128 |
-
|
| 129 |
-
[More Information Needed]
|
| 130 |
-
|
| 131 |
-
#### Summary
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
## Model Examination [optional]
|
| 136 |
-
|
| 137 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
-
[More Information Needed]
|
| 140 |
-
|
| 141 |
-
## Environmental Impact
|
| 142 |
-
|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
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).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
- **Cloud Provider:** [More Information Needed]
|
| 150 |
-
- **Compute Region:** [More Information Needed]
|
| 151 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
-
|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
-
[More Information Needed]
|
| 162 |
-
|
| 163 |
-
#### Hardware
|
| 164 |
-
|
| 165 |
-
[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
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[More Information Needed]
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| 170 |
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| 171 |
-
## Citation [optional]
|
| 172 |
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| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
-
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| 175 |
-
**BibTeX:**
|
| 176 |
-
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| 177 |
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[More Information Needed]
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| 178 |
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| 179 |
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**APA:**
|
| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
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| 183 |
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## Glossary [optional]
|
| 184 |
-
|
| 185 |
-
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
-
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| 187 |
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[More Information Needed]
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| 188 |
-
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| 189 |
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## More Information [optional]
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| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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## Model Card Authors [optional]
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| 194 |
-
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| 195 |
-
[More Information Needed]
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| 196 |
-
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| 197 |
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## Model Card Contact
|
| 198 |
-
|
| 199 |
-
[More Information Needed]
|
| 200 |
-
### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.11.1
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LoRA_Test/checkpoint-500/adapter_model/adapter_config.json
DELETED
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@@ -1,32 +0,0 @@
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| 1 |
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{
|
| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": {
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| 4 |
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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| 9 |
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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| 17 |
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"lora_dropout": 0.0,
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"megatron_config": null,
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| 19 |
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"megatron_core": "megatron.core",
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| 20 |
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"modules_to_save": null,
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| 21 |
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"peft_type": "LORA",
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| 22 |
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"r": 16,
|
| 23 |
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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"task_type": null,
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LoRA_Test/checkpoint-500/adapter_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:c522f383acf7cb285faee7782389578431fee3202e4a759b36930eacded1af18
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size 31512224
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LoRA_Test/checkpoint-5000/adapter_model/README.md
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---
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base_model: openai/whisper-large-v3
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| 3 |
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library_name: peft
|
| 4 |
-
---
|
| 5 |
-
|
| 6 |
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# Model Card for Model ID
|
| 7 |
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|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
|
| 10 |
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| 11 |
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| 12 |
-
## Model Details
|
| 13 |
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| 14 |
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### Model Description
|
| 15 |
-
|
| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
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- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
|
| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
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### Model Sources [optional]
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| 29 |
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| 30 |
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| 32 |
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- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
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## Uses
|
| 37 |
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|
| 38 |
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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. -->
|
| 39 |
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| 40 |
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### Direct Use
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| 41 |
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| 42 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
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| 44 |
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[More Information Needed]
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### Downstream Use [optional]
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| 47 |
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| 48 |
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|
| 49 |
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| 50 |
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[More Information Needed]
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### Out-of-Scope Use
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|
| 55 |
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| 56 |
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[More Information Needed]
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| 58 |
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## Bias, Risks, and Limitations
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| 59 |
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|
| 61 |
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| 62 |
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[More Information Needed]
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### Recommendations
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| 66 |
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| 67 |
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| 68 |
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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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| 69 |
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| 70 |
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## How to Get Started with the Model
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| 71 |
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| 72 |
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Use the code below to get started with the model.
|
| 73 |
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| 74 |
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[More Information Needed]
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## Training Details
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### Training Data
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[More Information Needed]
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### Training Procedure
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| 86 |
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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. -->
|
| 87 |
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| 88 |
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#### Preprocessing [optional]
|
| 89 |
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| 90 |
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[More Information Needed]
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| 91 |
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| 93 |
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#### Training Hyperparameters
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| 94 |
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| 95 |
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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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| 97 |
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#### Speeds, Sizes, Times [optional]
|
| 98 |
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|
| 100 |
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| 101 |
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[More Information Needed]
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| 103 |
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## Evaluation
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| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
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|
| 107 |
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### Testing Data, Factors & Metrics
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| 108 |
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| 109 |
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#### Testing Data
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[More Information Needed]
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#### Factors
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| 118 |
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| 119 |
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[More Information Needed]
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#### Metrics
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| 122 |
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| 124 |
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| 125 |
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[More Information Needed]
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| 127 |
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### Results
|
| 128 |
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| 129 |
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[More Information Needed]
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| 131 |
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#### Summary
|
| 132 |
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| 133 |
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| 134 |
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|
| 135 |
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## Model Examination [optional]
|
| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
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|
| 139 |
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[More Information Needed]
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| 140 |
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| 141 |
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## Environmental Impact
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| 143 |
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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 -->
|
| 144 |
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| 145 |
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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).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
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| 151 |
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| 152 |
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|
| 153 |
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## Technical Specifications [optional]
|
| 154 |
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| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
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[More Information Needed]
|
| 158 |
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| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
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[More Information Needed]
|
| 162 |
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| 163 |
-
#### Hardware
|
| 164 |
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| 165 |
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[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
|
| 169 |
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[More Information Needed]
|
| 170 |
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|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
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|
| 175 |
-
**BibTeX:**
|
| 176 |
-
|
| 177 |
-
[More Information Needed]
|
| 178 |
-
|
| 179 |
-
**APA:**
|
| 180 |
-
|
| 181 |
-
[More Information Needed]
|
| 182 |
-
|
| 183 |
-
## Glossary [optional]
|
| 184 |
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| 185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
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|
| 187 |
-
[More Information Needed]
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| 188 |
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| 189 |
-
## More Information [optional]
|
| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
|
| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
-
## Model Card Contact
|
| 198 |
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|
| 199 |
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[More Information Needed]
|
| 200 |
-
### Framework versions
|
| 201 |
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| 202 |
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- PEFT 0.11.1
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LoRA_Test/checkpoint-5000/adapter_model/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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"base_model_name_or_path": "openai/whisper-large-v3",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"r": 16,
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"rank_pattern": {},
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version https://git-lfs.github.com/spec/v1
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---
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base_model: openai/whisper-large-v3
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library_name: peft
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-
---
|
| 5 |
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| 6 |
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# Model Card for Model ID
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| 7 |
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<!-- Provide a quick summary of what the model is/does. -->
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| 9 |
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| 10 |
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## Model Details
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### Model Description
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| 15 |
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| 17 |
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| 18 |
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- **Developed by:** [More Information Needed]
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| 21 |
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## Model Examination [optional]
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| 153 |
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## Technical Specifications [optional]
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| 156 |
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| 157 |
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## Citation [optional]
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| 174 |
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| 175 |
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| 176 |
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| 199 |
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| 200 |
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### Framework versions
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| 201 |
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- PEFT 0.11.1
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LoRA_Test/checkpoint-5500/adapter_model/adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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| 20 |
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"modules_to_save": null,
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| 21 |
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"peft_type": "LORA",
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| 22 |
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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| 27 |
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"q_proj"
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],
|
| 29 |
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"task_type": null,
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"use_dora": false,
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---
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base_model: openai/whisper-large-v3
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library_name: peft
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---
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# Model Card for Model ID
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## Model Details
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### Model Description
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## Uses
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[More Information Needed]
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### Downstream Use [optional]
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[More Information Needed]
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[More Information Needed]
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## Bias, Risks, and Limitations
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### Recommendations
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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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Use the code below to get started with the model.
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[More Information Needed]
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### Training Data
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### Training Procedure
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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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[More Information Needed]
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## Environmental Impact
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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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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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- **Hardware Type:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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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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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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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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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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| 182 |
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| 183 |
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## Glossary [optional]
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[More Information Needed]
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## More Information [optional]
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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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### Framework versions
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- PEFT 0.11.1
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LoRA_Test/checkpoint-6000/adapter_model/adapter_config.json
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{
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"alpha_pattern": {},
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"parent_library": "transformers.models.whisper.modeling_whisper"
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version https://git-lfs.github.com/spec/v1
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base_model: openai/whisper-large-v3
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library_name: peft
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---
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| 5 |
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# Model Card for Model ID
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| 7 |
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| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
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| 10 |
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## Model Details
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### Model Description
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| 15 |
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| 16 |
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<!-- Provide a longer summary of what this model is. -->
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| 17 |
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| 18 |
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| 19 |
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| 20 |
-
- **Developed by:** [More Information Needed]
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| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
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| 28 |
-
### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
-
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| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
-
- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
|
| 35 |
-
|
| 36 |
-
## Uses
|
| 37 |
-
|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
-
|
| 40 |
-
### Direct Use
|
| 41 |
-
|
| 42 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
-
|
| 44 |
-
[More Information Needed]
|
| 45 |
-
|
| 46 |
-
### Downstream Use [optional]
|
| 47 |
-
|
| 48 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
-
|
| 50 |
-
[More Information Needed]
|
| 51 |
-
|
| 52 |
-
### Out-of-Scope Use
|
| 53 |
-
|
| 54 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
-
|
| 56 |
-
[More Information Needed]
|
| 57 |
-
|
| 58 |
-
## Bias, Risks, and Limitations
|
| 59 |
-
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| 60 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 61 |
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| 62 |
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[More Information Needed]
|
| 63 |
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| 64 |
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### Recommendations
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| 65 |
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| 66 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
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| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
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| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
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| 74 |
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[More Information Needed]
|
| 75 |
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| 76 |
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## Training Details
|
| 77 |
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| 78 |
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### Training Data
|
| 79 |
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| 80 |
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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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| 81 |
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| 82 |
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[More Information Needed]
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| 83 |
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| 84 |
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### Training Procedure
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| 85 |
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| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
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| 88 |
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#### Preprocessing [optional]
|
| 89 |
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| 90 |
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[More Information Needed]
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| 91 |
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| 92 |
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| 93 |
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#### Training Hyperparameters
|
| 94 |
-
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| 95 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
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| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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| 99 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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| 100 |
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| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
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| 104 |
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| 105 |
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<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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| 107 |
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### Testing Data, Factors & Metrics
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| 108 |
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| 109 |
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#### Testing Data
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| 110 |
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| 111 |
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<!-- This should link to a Dataset Card if possible. -->
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| 112 |
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| 113 |
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[More Information Needed]
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| 114 |
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| 115 |
-
#### Factors
|
| 116 |
-
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| 117 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
-
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| 119 |
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[More Information Needed]
|
| 120 |
-
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| 121 |
-
#### Metrics
|
| 122 |
-
|
| 123 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
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| 125 |
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[More Information Needed]
|
| 126 |
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|
| 127 |
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### Results
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| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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| 131 |
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#### Summary
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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## Model Examination [optional]
|
| 136 |
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|
| 137 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
-
[More Information Needed]
|
| 140 |
-
|
| 141 |
-
## Environmental Impact
|
| 142 |
-
|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
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).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
- **Cloud Provider:** [More Information Needed]
|
| 150 |
-
- **Compute Region:** [More Information Needed]
|
| 151 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
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| 153 |
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## Technical Specifications [optional]
|
| 154 |
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| 155 |
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### Model Architecture and Objective
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| 156 |
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| 157 |
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[More Information Needed]
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| 158 |
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| 159 |
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### Compute Infrastructure
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| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
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| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Software
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| 168 |
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| 169 |
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[More Information Needed]
|
| 170 |
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|
| 171 |
-
## Citation [optional]
|
| 172 |
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|
| 173 |
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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. -->
|
| 174 |
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| 175 |
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**BibTeX:**
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| 176 |
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| 177 |
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[More Information Needed]
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| 179 |
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**APA:**
|
| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
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|
| 183 |
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## Glossary [optional]
|
| 184 |
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|
| 185 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
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| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
|
| 190 |
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| 191 |
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[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
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| 198 |
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| 199 |
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[More Information Needed]
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| 200 |
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### Framework versions
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- PEFT 0.11.1
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LoRA_Test/checkpoint-6500/adapter_model/adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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LoRA_Test/checkpoint-6500/adapter_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:81d0421bf1290c794955335436048759f066f51c2ac716d17e5507ff53fd1cde
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size 31512224
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LoRA_Test/checkpoint-7000/adapter_model/README.md
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---
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base_model: openai/whisper-large-v3
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| 3 |
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library_name: peft
|
| 4 |
-
---
|
| 5 |
-
|
| 6 |
-
# Model Card for Model ID
|
| 7 |
-
|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
## Model Details
|
| 13 |
-
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| 14 |
-
### Model Description
|
| 15 |
-
|
| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
-
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
-
- **Model type:** [More Information Needed]
|
| 24 |
-
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
-
- **License:** [More Information Needed]
|
| 26 |
-
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
-
|
| 28 |
-
### Model Sources [optional]
|
| 29 |
-
|
| 30 |
-
<!-- Provide the basic links for the model. -->
|
| 31 |
-
|
| 32 |
-
- **Repository:** [More Information Needed]
|
| 33 |
-
- **Paper [optional]:** [More Information Needed]
|
| 34 |
-
- **Demo [optional]:** [More Information Needed]
|
| 35 |
-
|
| 36 |
-
## Uses
|
| 37 |
-
|
| 38 |
-
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
-
|
| 40 |
-
### Direct Use
|
| 41 |
-
|
| 42 |
-
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
-
|
| 44 |
-
[More Information Needed]
|
| 45 |
-
|
| 46 |
-
### Downstream Use [optional]
|
| 47 |
-
|
| 48 |
-
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
-
|
| 50 |
-
[More Information Needed]
|
| 51 |
-
|
| 52 |
-
### Out-of-Scope Use
|
| 53 |
-
|
| 54 |
-
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
-
|
| 56 |
-
[More Information Needed]
|
| 57 |
-
|
| 58 |
-
## Bias, Risks, and Limitations
|
| 59 |
-
|
| 60 |
-
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
-
|
| 62 |
-
[More Information Needed]
|
| 63 |
-
|
| 64 |
-
### Recommendations
|
| 65 |
-
|
| 66 |
-
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
-
|
| 68 |
-
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
-
|
| 70 |
-
## How to Get Started with the Model
|
| 71 |
-
|
| 72 |
-
Use the code below to get started with the model.
|
| 73 |
-
|
| 74 |
-
[More Information Needed]
|
| 75 |
-
|
| 76 |
-
## Training Details
|
| 77 |
-
|
| 78 |
-
### Training Data
|
| 79 |
-
|
| 80 |
-
<!-- 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. -->
|
| 81 |
-
|
| 82 |
-
[More Information Needed]
|
| 83 |
-
|
| 84 |
-
### Training Procedure
|
| 85 |
-
|
| 86 |
-
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
-
|
| 88 |
-
#### Preprocessing [optional]
|
| 89 |
-
|
| 90 |
-
[More Information Needed]
|
| 91 |
-
|
| 92 |
-
|
| 93 |
-
#### Training Hyperparameters
|
| 94 |
-
|
| 95 |
-
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
-
|
| 97 |
-
#### Speeds, Sizes, Times [optional]
|
| 98 |
-
|
| 99 |
-
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
-
|
| 101 |
-
[More Information Needed]
|
| 102 |
-
|
| 103 |
-
## Evaluation
|
| 104 |
-
|
| 105 |
-
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
-
|
| 107 |
-
### Testing Data, Factors & Metrics
|
| 108 |
-
|
| 109 |
-
#### Testing Data
|
| 110 |
-
|
| 111 |
-
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
-
|
| 113 |
-
[More Information Needed]
|
| 114 |
-
|
| 115 |
-
#### Factors
|
| 116 |
-
|
| 117 |
-
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
-
|
| 119 |
-
[More Information Needed]
|
| 120 |
-
|
| 121 |
-
#### Metrics
|
| 122 |
-
|
| 123 |
-
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
-
|
| 125 |
-
[More Information Needed]
|
| 126 |
-
|
| 127 |
-
### Results
|
| 128 |
-
|
| 129 |
-
[More Information Needed]
|
| 130 |
-
|
| 131 |
-
#### Summary
|
| 132 |
-
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
## Model Examination [optional]
|
| 136 |
-
|
| 137 |
-
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
-
|
| 139 |
-
[More Information Needed]
|
| 140 |
-
|
| 141 |
-
## Environmental Impact
|
| 142 |
-
|
| 143 |
-
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
-
|
| 145 |
-
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).
|
| 146 |
-
|
| 147 |
-
- **Hardware Type:** [More Information Needed]
|
| 148 |
-
- **Hours used:** [More Information Needed]
|
| 149 |
-
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| 150 |
-
- **Compute Region:** [More Information Needed]
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| 151 |
-
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
-
|
| 153 |
-
## Technical Specifications [optional]
|
| 154 |
-
|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
-
|
| 159 |
-
### Compute Infrastructure
|
| 160 |
-
|
| 161 |
-
[More Information Needed]
|
| 162 |
-
|
| 163 |
-
#### Hardware
|
| 164 |
-
|
| 165 |
-
[More Information Needed]
|
| 166 |
-
|
| 167 |
-
#### Software
|
| 168 |
-
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| 169 |
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[More Information Needed]
|
| 170 |
-
|
| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
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|
| 175 |
-
**BibTeX:**
|
| 176 |
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|
| 177 |
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[More Information Needed]
|
| 178 |
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|
| 179 |
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**APA:**
|
| 180 |
-
|
| 181 |
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[More Information Needed]
|
| 182 |
-
|
| 183 |
-
## Glossary [optional]
|
| 184 |
-
|
| 185 |
-
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
-
|
| 187 |
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[More Information Needed]
|
| 188 |
-
|
| 189 |
-
## More Information [optional]
|
| 190 |
-
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| 191 |
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[More Information Needed]
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| 192 |
-
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| 193 |
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## Model Card Authors [optional]
|
| 194 |
-
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| 195 |
-
[More Information Needed]
|
| 196 |
-
|
| 197 |
-
## Model Card Contact
|
| 198 |
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|
| 199 |
-
[More Information Needed]
|
| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.11.1
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LoRA_Test/checkpoint-7000/adapter_model/adapter_config.json
DELETED
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@@ -1,32 +0,0 @@
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| 1 |
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": {
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"base_model_class": "WhisperForConditionalGeneration",
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"parent_library": "transformers.models.whisper.modeling_whisper"
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},
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"base_model_name_or_path": "openai/whisper-large-v3",
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"bias": "none",
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| 9 |
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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| 17 |
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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LoRA_Test/checkpoint-7000/adapter_model/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
|
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oid sha256:8c93c737a92eaab2fd2f729caaf56c70b3bd2d7dea018938879a6e49e4a32272
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size 31512224
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LoRA_Test/checkpoint-7500/adapter_model/README.md
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---
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base_model: openai/whisper-large-v3
|
| 3 |
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library_name: peft
|
| 4 |
-
---
|
| 5 |
-
|
| 6 |
-
# Model Card for Model ID
|
| 7 |
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|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
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|
| 10 |
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| 11 |
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|
| 12 |
-
## Model Details
|
| 13 |
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|
| 14 |
-
### Model Description
|
| 15 |
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|
| 16 |
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<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
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|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
|
| 21 |
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- **Funded by [optional]:** [More Information Needed]
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| 22 |
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
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### Model Sources [optional]
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| 30 |
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| 32 |
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- **Repository:** [More Information Needed]
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| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
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## Uses
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| 38 |
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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. -->
|
| 39 |
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| 40 |
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### Direct Use
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| 43 |
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| 44 |
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[More Information Needed]
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### Downstream Use [optional]
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|
| 49 |
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| 50 |
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[More Information Needed]
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### Out-of-Scope Use
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|
| 55 |
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| 56 |
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[More Information Needed]
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| 58 |
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## Bias, Risks, and Limitations
|
| 59 |
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| 60 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
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| 62 |
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[More Information Needed]
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| 64 |
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### Recommendations
|
| 65 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 67 |
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| 68 |
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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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| 69 |
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| 70 |
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## How to Get Started with the Model
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| 71 |
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| 72 |
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Use the code below to get started with the model.
|
| 73 |
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| 74 |
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[More Information Needed]
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## Training Details
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### Training Data
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#### Preprocessing [optional]
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| 90 |
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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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| 101 |
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[More Information Needed]
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## Evaluation
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| 106 |
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| 107 |
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### Testing Data, Factors & Metrics
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[More Information Needed]
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| 119 |
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[More Information Needed]
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#### Metrics
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| 124 |
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| 125 |
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[More Information Needed]
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### Results
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[More Information Needed]
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| 131 |
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| 133 |
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| 134 |
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| 135 |
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## Model Examination [optional]
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| 136 |
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<!-- Relevant interpretability work for the model goes here -->
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| 138 |
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| 139 |
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[More Information Needed]
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## Environmental Impact
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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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| 144 |
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| 145 |
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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).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 148 |
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| 152 |
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| 153 |
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## Technical Specifications [optional]
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| 154 |
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| 155 |
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### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
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| 159 |
-
### Compute Infrastructure
|
| 160 |
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|
| 161 |
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[More Information Needed]
|
| 162 |
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| 163 |
-
#### Hardware
|
| 164 |
-
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
-
#### Software
|
| 168 |
-
|
| 169 |
-
[More Information Needed]
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| 170 |
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| 171 |
-
## Citation [optional]
|
| 172 |
-
|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
-
|
| 175 |
-
**BibTeX:**
|
| 176 |
-
|
| 177 |
-
[More Information Needed]
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| 178 |
-
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| 179 |
-
**APA:**
|
| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
-
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| 183 |
-
## Glossary [optional]
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| 184 |
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| 185 |
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| 186 |
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| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 190 |
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[More Information Needed]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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[More Information Needed]
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| 197 |
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## Model Card Contact
|
| 198 |
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[More Information Needed]
|
| 200 |
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### Framework versions
|
| 201 |
-
|
| 202 |
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- PEFT 0.11.1
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|
LoRA_Test/checkpoint-7500/adapter_model/adapter_config.json
DELETED
|
@@ -1,32 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"alpha_pattern": {},
|
| 3 |
-
"auto_mapping": {
|
| 4 |
-
"base_model_class": "WhisperForConditionalGeneration",
|
| 5 |
-
"parent_library": "transformers.models.whisper.modeling_whisper"
|
| 6 |
-
},
|
| 7 |
-
"base_model_name_or_path": "openai/whisper-large-v3",
|
| 8 |
-
"bias": "none",
|
| 9 |
-
"fan_in_fan_out": false,
|
| 10 |
-
"inference_mode": true,
|
| 11 |
-
"init_lora_weights": true,
|
| 12 |
-
"layer_replication": null,
|
| 13 |
-
"layers_pattern": null,
|
| 14 |
-
"layers_to_transform": null,
|
| 15 |
-
"loftq_config": {},
|
| 16 |
-
"lora_alpha": 32,
|
| 17 |
-
"lora_dropout": 0.0,
|
| 18 |
-
"megatron_config": null,
|
| 19 |
-
"megatron_core": "megatron.core",
|
| 20 |
-
"modules_to_save": null,
|
| 21 |
-
"peft_type": "LORA",
|
| 22 |
-
"r": 16,
|
| 23 |
-
"rank_pattern": {},
|
| 24 |
-
"revision": null,
|
| 25 |
-
"target_modules": [
|
| 26 |
-
"v_proj",
|
| 27 |
-
"q_proj"
|
| 28 |
-
],
|
| 29 |
-
"task_type": null,
|
| 30 |
-
"use_dora": false,
|
| 31 |
-
"use_rslora": false
|
| 32 |
-
}
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|
LoRA_Test/checkpoint-7500/adapter_model/adapter_model.safetensors
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:16d825c5f794f775e6a836ff7d9d2e60f9875b8a5ef1ffb267e5c470eea29c4d
|
| 3 |
-
size 31512224
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