metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: AsrTaskModel
results: []
AsrTaskModel
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4220
- Wer: 0.2541
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: 0.0001
- train_batch_size: 8
- 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: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.0261 | 0.5556 | 500 | 3.1243 | 0.9989 |
| 1.1139 | 1.1111 | 1000 | 0.9005 | 0.5382 |
| 0.8059 | 1.6667 | 1500 | 0.6447 | 0.3916 |
| 0.5712 | 2.2222 | 2000 | 0.5581 | 0.3395 |
| 0.5164 | 2.7778 | 2500 | 0.4805 | 0.2998 |
| 0.3958 | 3.3333 | 3000 | 0.4717 | 0.2820 |
| 0.4108 | 3.8889 | 3500 | 0.4494 | 0.2692 |
| 0.3403 | 4.4444 | 4000 | 0.4507 | 0.2588 |
| 0.3087 | 5.0 | 4500 | 0.4220 | 0.2541 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1