| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: facebook/wav2vec2-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: my_awesome_mind_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. --> |
|
|
| # my_awesome_mind_model |
| |
| This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.7005 |
| - Accuracy: 0.0531 |
| |
| ## 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: 3e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 0.1 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 4 | 2.6484 | 0.0619 | |
| | No log | 2.0 | 8 | 2.6592 | 0.0619 | |
| | 10.0072 | 3.0 | 12 | 2.6687 | 0.0531 | |
| | 10.0072 | 4.0 | 16 | 2.6785 | 0.0619 | |
| | 9.7104 | 5.0 | 20 | 2.6820 | 0.0619 | |
| | 9.7104 | 6.0 | 24 | 2.6876 | 0.0442 | |
| | 9.7104 | 7.0 | 28 | 2.6943 | 0.0354 | |
| | 9.9187 | 8.0 | 32 | 2.6992 | 0.0531 | |
| | 9.9187 | 9.0 | 36 | 2.7000 | 0.0442 | |
| | 9.6408 | 10.0 | 40 | 2.7005 | 0.0531 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cpu |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
