metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: test-model-lg-data
results: []
test-model-lg-data
This model is a fine-tuned version of Monsia/test-model-lg-data on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.2894
- Wer: 0.4059
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: 0.0003
- 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: 200
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0992 | 0.67 | 100 | 0.3152 | 0.4505 |
| 0.1249 | 1.35 | 200 | 0.4314 | 0.5483 |
| 0.1551 | 2.03 | 300 | 0.3639 | 0.5119 |
| 0.1153 | 2.7 | 400 | 0.3347 | 0.4718 |
| 0.0969 | 3.38 | 500 | 0.3219 | 0.4320 |
| 0.084 | 4.05 | 600 | 0.2899 | 0.4171 |
| 0.077 | 4.73 | 700 | 0.2894 | 0.4059 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.13.3
- Tokenizers 0.10.3