metadata
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-xlsr-hindi
results: []
wav2vec2-large-xlsr-hindi
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: 1.0220
- Wer: 0.5697
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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.6122 | 1.81 | 400 | 3.3749 | 1.0 |
| 1.6592 | 3.61 | 800 | 1.0003 | 0.7554 |
| 0.7745 | 5.42 | 1200 | 0.9482 | 0.6972 |
| 0.6286 | 7.22 | 1600 | 1.0754 | 0.6750 |
| 0.5413 | 9.03 | 2000 | 0.9040 | 0.6405 |
| 0.4833 | 10.84 | 2400 | 0.9086 | 0.6116 |
| 0.4331 | 12.64 | 2800 | 0.9273 | 0.6283 |
| 0.4047 | 14.45 | 3200 | 1.0076 | 0.6138 |
| 0.3739 | 16.25 | 3600 | 0.9818 | 0.6018 |
| 0.3445 | 18.06 | 4000 | 0.9948 | 0.5952 |
| 0.3305 | 19.86 | 4400 | 0.9897 | 0.5834 |
| 0.3107 | 21.67 | 4800 | 1.0022 | 0.5751 |
| 0.2879 | 23.48 | 5200 | 1.0235 | 0.5744 |
| 0.2836 | 25.28 | 5600 | 1.0238 | 0.5765 |
| 0.2706 | 27.09 | 6000 | 1.0276 | 0.5694 |
| 0.2656 | 28.89 | 6400 | 1.0220 | 0.5697 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0