metadata
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-en-in
results: []
wav2vec2-base-en-in
This model is a fine-tuned version of beinghorizontal/wav2vec2-base-en-in on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0776
- Wer: 1.0
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: 16
- 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: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.1317 | 83.33 | 500 | 3.0776 | 1.0 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.12.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1