metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-base
metrics:
- wer
model-index:
- name: output_model
results: []
output_model
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: 1.2884
- Wer: 0.4752
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.8783 | 2.4752 | 500 | 2.7618 | 0.9999 |
| 1.4069 | 4.9505 | 1000 | 1.0853 | 0.6936 |
| 0.6264 | 7.4257 | 1500 | 0.9955 | 0.6014 |
| 0.3864 | 9.9010 | 2000 | 1.0460 | 0.5675 |
| 0.2714 | 12.3762 | 2500 | 0.9830 | 0.5422 |
| 0.2099 | 14.8515 | 3000 | 1.0333 | 0.5296 |
| 0.1615 | 17.3267 | 3500 | 1.1575 | 0.5203 |
| 0.1248 | 19.8020 | 4000 | 1.1311 | 0.4956 |
| 0.1032 | 22.2772 | 4500 | 1.3206 | 0.4953 |
| 0.0834 | 24.7525 | 5000 | 1.2094 | 0.4855 |
| 0.0655 | 27.2277 | 5500 | 1.2966 | 0.4763 |
| 0.052 | 29.7030 | 6000 | 1.2884 | 0.4752 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1