metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: addison6
results: []
addison6
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: 1.1437
- Wer: 0.5533
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 |
|---|---|---|---|---|
| 4.4131 | 8.93 | 500 | 2.9852 | 1.0 |
| 2.347 | 17.86 | 1000 | 1.3474 | 0.8105 |
| 0.7817 | 26.79 | 1500 | 1.1437 | 0.5533 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.0.0+cu118
- Datasets 1.18.3
- Tokenizers 0.13.2