| | --- |
| | license: apache-2.0 |
| | base_model: facebook/wav2vec2-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: init_red_Wav2Vec |
| | 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. --> |
| |
|
| | # init_red_Wav2Vec |
| |
|
| | 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: 0.5506 |
| | - Accuracy: 0.7297 |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 0.73 | 2 | 0.6922 | 0.4865 | |
| | | No log | 1.82 | 5 | 0.6925 | 0.5135 | |
| | | No log | 2.91 | 8 | 0.7156 | 0.4865 | |
| | | 0.6751 | 4.0 | 11 | 0.7069 | 0.5135 | |
| | | 0.6751 | 4.73 | 13 | 0.7178 | 0.4865 | |
| | | 0.6751 | 5.82 | 16 | 0.5962 | 0.8649 | |
| | | 0.6751 | 6.91 | 19 | 0.5528 | 0.7297 | |
| | | 0.6212 | 7.27 | 20 | 0.5506 | 0.7297 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.32.1 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.13.3 |
| |
|
