metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-timit-demo-google-colab-2
results: []
wav2vec2-base-timit-demo-google-colab-2
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: 0.4179
- Wer: 0.3574
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 |
---|---|---|---|---|
3.6648 | 5.81 | 500 | 2.8027 | 1.0 |
1.0049 | 11.63 | 1000 | 0.5596 | 0.5456 |
0.2768 | 17.44 | 1500 | 0.5116 | 0.4262 |
0.1315 | 23.26 | 2000 | 0.4359 | 0.3939 |
0.0777 | 29.07 | 2500 | 0.4179 | 0.3574 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 1.18.3
- Tokenizers 0.15.0