metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-xlsr-53-Marathi-large
results: []
wav2vec2-xlsr-53-Marathi-large
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: 0.3832
- Wer: 0.2102
- Cer: 0.0667
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: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 6.4763 | 1.7647 | 300 | 3.3057 | 1.0 | 1.0 |
| 1.3413 | 3.5294 | 600 | 0.6503 | 0.4479 | 0.1574 |
| 0.4712 | 5.2941 | 900 | 0.4442 | 0.3447 | 0.1126 |
| 0.2772 | 7.0588 | 1200 | 0.4034 | 0.2922 | 0.0970 |
| 0.1741 | 8.8235 | 1500 | 0.3750 | 0.2518 | 0.0814 |
| 0.1213 | 10.5882 | 1800 | 0.3936 | 0.2435 | 0.0787 |
| 0.0889 | 12.3529 | 2100 | 0.3841 | 0.2271 | 0.0736 |
| 0.0718 | 14.1176 | 2400 | 0.3675 | 0.2116 | 0.0680 |
| 0.0546 | 15.8824 | 2700 | 0.3755 | 0.2134 | 0.0676 |
| 0.047 | 17.6471 | 3000 | 0.3832 | 0.2102 | 0.0667 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1