metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: xlsr-nm-nomo
results: []
xlsr-nm-nomo
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: 1.0423
- Wer: 0.3916
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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 132
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.7334 | 6.4590 | 200 | 3.1082 | 1.0 |
| 2.9544 | 12.9180 | 400 | 2.8429 | 0.9956 |
| 2.0771 | 19.3607 | 600 | 1.2204 | 0.8341 |
| 0.7271 | 25.8197 | 800 | 1.0868 | 0.5531 |
| 0.3103 | 32.2623 | 1000 | 1.0536 | 0.4912 |
| 0.1852 | 38.7213 | 1200 | 0.9030 | 0.4469 |
| 0.1399 | 45.1639 | 1400 | 0.8980 | 0.4491 |
| 0.0864 | 51.6230 | 1600 | 0.8315 | 0.4292 |
| 0.0643 | 58.0656 | 1800 | 0.9488 | 0.4004 |
| 0.0525 | 64.5246 | 2000 | 0.9354 | 0.4137 |
| 0.0455 | 70.9836 | 2200 | 0.9717 | 0.4093 |
| 0.0383 | 77.4262 | 2400 | 0.9781 | 0.4004 |
| 0.0261 | 83.8852 | 2600 | 1.1244 | 0.3938 |
| 0.0265 | 90.3279 | 2800 | 1.0439 | 0.4004 |
| 0.0197 | 96.7869 | 3000 | 1.0423 | 0.3916 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0