| --- |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: test-model |
| 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. --> |
|
|
| # test-model |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3947 |
| - Accuracy: 0.8833 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - 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: 0.3 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | 1.0551 | 0.9960 | 62 | 0.9662 | 0.5412 | |
| | 0.9308 | 1.9920 | 124 | 0.8707 | 0.5433 | |
| | 0.7962 | 2.9880 | 186 | 0.7354 | 0.6841 | |
| | 0.7254 | 4.0 | 249 | 0.7400 | 0.7042 | |
| | 0.5941 | 4.9960 | 311 | 0.5405 | 0.8169 | |
| | 0.4736 | 5.9920 | 373 | 0.5045 | 0.8471 | |
| | 0.4399 | 6.9880 | 435 | 0.4102 | 0.8813 | |
| | 0.374 | 8.0 | 498 | 0.4052 | 0.8813 | |
| | 0.3425 | 8.9960 | 560 | 0.4335 | 0.8632 | |
| | 0.3171 | 9.9598 | 620 | 0.3947 | 0.8833 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.44.0 |
| - Pytorch 2.4.0 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
|
|
