metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-demo-colab
results: []
wav2vec2-base-timit-demo-colab
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: 0.4028
- Wer: 0.3533
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.7434 | 1.0040 | 500 | 1.3280 | 1.0321 |
| 0.8808 | 2.0080 | 1000 | 0.5326 | 0.5339 |
| 0.4891 | 3.0120 | 1500 | 0.4431 | 0.4541 |
| 0.3335 | 4.0161 | 2000 | 0.4053 | 0.4195 |
| 0.2476 | 5.0201 | 2500 | 0.4087 | 0.3998 |
| 0.1918 | 6.0241 | 3000 | 0.3971 | 0.3884 |
| 0.155 | 7.0281 | 3500 | 0.4242 | 0.3697 |
| 0.1249 | 8.0321 | 4000 | 0.4094 | 0.3599 |
| 0.1045 | 9.0361 | 4500 | 0.4028 | 0.3533 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 1.18.3
- Tokenizers 0.20.3