metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: results2
results: []
results2
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.1078
- Wer: 0.9945
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: 0.005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.1667 | 0.57 | 100 | 4.5022 | 0.9941 |
| 2.8372 | 1.14 | 200 | 3.6561 | 0.9989 |
| 2.8065 | 1.71 | 300 | 3.9712 | 0.9943 |
| 2.7851 | 2.29 | 400 | 3.9929 | 0.9941 |
| 2.7765 | 2.86 | 500 | 4.2525 | 0.9942 |
| 2.7666 | 3.43 | 600 | 4.1306 | 0.9941 |
| 2.7647 | 4.0 | 700 | 4.1459 | 0.9941 |
| 2.7572 | 4.57 | 800 | 4.1862 | 0.9944 |
| 2.7506 | 5.14 | 900 | 4.1974 | 0.9948 |
| 2.7481 | 5.71 | 1000 | 4.3590 | 0.9944 |
| 2.7445 | 6.29 | 1100 | 4.1933 | 0.9942 |
| 2.7475 | 6.86 | 1200 | 4.2083 | 0.9948 |
| 2.7431 | 7.43 | 1300 | 4.1181 | 0.9945 |
| 2.7404 | 8.0 | 1400 | 4.1052 | 0.9944 |
| 2.7387 | 8.57 | 1500 | 4.1345 | 0.9945 |
| 2.7365 | 9.14 | 1600 | 4.0646 | 0.9945 |
| 2.7353 | 9.71 | 1700 | 4.1078 | 0.9945 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2