metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-xlsr-53_final_train1
results: []
wav2vec2-large-xlsr-53_final_train1
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6432
- Wer: 0.6298
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.6199 | 0.25 | 250 | 3.6163 | 1.0 |
| 3.0927 | 0.5 | 500 | 3.5932 | 1.0 |
| 3.0837 | 0.76 | 750 | 3.2418 | 1.0 |
| 2.2385 | 1.01 | 1000 | 1.2621 | 0.9855 |
| 1.743 | 1.26 | 1250 | 1.0830 | 0.9442 |
| 1.6661 | 1.51 | 1500 | 0.7926 | 0.8051 |
| 1.5661 | 1.77 | 1750 | 0.6432 | 0.6298 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu102
- Datasets 2.1.0
- Tokenizers 0.12.1