| --- |
| license: apache-2.0 |
| base_model: jadasdn/open-ai-small-1 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - wer |
| model-index: |
| - name: open-ai-small-2 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # open-ai-small-2 |
|
|
| This model is a fine-tuned version of [jadasdn/open-ai-small-1](https://huggingface.co/jadasdn/open-ai-small-1) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3953 |
| - Wer: 21.4497 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - training_steps: 4000 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Wer | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:| |
| | 0.1941 | 2.0 | 1000 | 0.2854 | 21.5383 | |
| | 0.0212 | 4.0 | 2000 | 0.3384 | 18.9827 | |
| | 0.0032 | 6.0 | 3000 | 0.3801 | 20.4698 | |
| | 0.0015 | 8.0 | 4000 | 0.3953 | 21.4497 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
