| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| datasets: |
| - minds14 |
| metrics: |
| - wer |
| model-index: |
| - name: poly-6 |
| results: |
| - task: |
| name: Automatic Speech Recognition |
| type: automatic-speech-recognition |
| dataset: |
| name: minds14 |
| type: minds14 |
| config: en-US |
| split: train[:10] |
| args: en-US |
| metrics: |
| - name: Wer |
| type: wer |
| value: 1.0 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # poly-6 |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 27.5287 |
| - Wer: 1.0 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 0.0003 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.01 |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:---:| |
| | 15.5918 | 1.0 | 1 | 27.5287 | 1.0 | |
| | 15.5936 | 2.0 | 2 | 27.5287 | 1.0 | |
| | 15.6148 | 3.0 | 3 | 27.5287 | 1.0 | |
| | 15.6283 | 4.0 | 4 | 27.5287 | 1.0 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.40.2 |
| - Pytorch 2.1.2+cpu |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
