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library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
model-index:
- name: xlsr53
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlsr53
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6497
- Cer: 1.0
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 10
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 86.7857 | 1.0 | 10 | 13.0096 | 0.9930 |
| 64.0349 | 2.0 | 20 | 5.7889 | 1.0 |
| 20.8761 | 3.0 | 30 | 4.3652 | 1.0 |
| 12.3363 | 4.0 | 40 | 3.8773 | 1.0 |
| 11.0137 | 5.0 | 50 | 3.7471 | 1.0 |
| 10.7147 | 6.0 | 60 | 3.6982 | 1.0 |
| 10.5702 | 7.0 | 70 | 3.6885 | 1.0 |
| 10.1350 | 8.0 | 80 | 3.6772 | 1.0 |
| 10.7296 | 9.0 | 90 | 3.6753 | 1.0 |
| 10.0155 | 10.0 | 100 | 3.6693 | 1.0 |
| 23.2533 | 11.0 | 110 | 3.6945 | 1.0 |
| 11.0381 | 12.0 | 120 | 3.6739 | 1.0 |
| 10.8187 | 13.0 | 130 | 3.6736 | 1.0 |
| 10.4372 | 14.0 | 140 | 3.6692 | 1.0 |
| 10.3977 | 15.0 | 150 | 3.6721 | 1.0 |
| 10.1144 | 16.0 | 160 | 3.6679 | 1.0 |
| 10.2825 | 17.0 | 170 | 3.6669 | 1.0 |
| 10.4510 | 18.0 | 180 | 3.6651 | 1.0 |
| 10.1287 | 19.0 | 190 | 3.6654 | 1.0 |
| 10.1370 | 20.0 | 200 | 3.6608 | 1.0 |
| 10.3325 | 21.0 | 210 | 3.6639 | 1.0 |
| 10.5143 | 22.0 | 220 | 3.6630 | 1.0 |
| 10.3311 | 23.0 | 230 | 3.6666 | 1.0 |
| 10.4097 | 24.0 | 240 | 3.6611 | 1.0 |
| 13.4818 | 25.0 | 250 | 3.6602 | 1.0 |
| 13.6625 | 26.0 | 260 | 3.6586 | 1.0 |
| 10.1651 | 27.0 | 270 | 3.6568 | 1.0 |
| 10.3636 | 28.0 | 280 | 3.6508 | 1.0 |
| 13.1884 | 29.0 | 290 | 3.6498 | 1.0 |
| 9.9916 | 30.0 | 300 | 3.6497 | 1.0 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
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