metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-base-960h
metrics:
- wer
model-index:
- name: wtimit-base-960h-normal-reduced-learning-rate-all
results: []
wtimit-base-960h-normal-reduced-learning-rate-all
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3181
- Wer: 0.2132
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: 1e-05
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4297 | 2.1552 | 1000 | 0.3046 | 0.2440 |
| 0.3137 | 4.3103 | 2000 | 0.2941 | 0.2240 |
| 0.2578 | 6.4655 | 3000 | 0.2982 | 0.2176 |
| 0.2153 | 8.6207 | 4000 | 0.3063 | 0.2166 |
| 0.1998 | 10.7759 | 5000 | 0.3036 | 0.2155 |
| 0.1913 | 12.9310 | 6000 | 0.3049 | 0.2122 |
| 0.1836 | 15.0862 | 7000 | 0.3160 | 0.2161 |
| 0.1755 | 17.2414 | 8000 | 0.3192 | 0.2152 |
| 0.1681 | 19.3966 | 9000 | 0.3181 | 0.2132 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1