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---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2_l2arctic
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. -->
# wav2vec2_l2arctic
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co./facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5487
- Wer: 0.1460
- Cer: 0.0904
## 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: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 6.3356 | 0.9941 | 84 | 4.6295 | 1.0 | 1.0 |
| 3.5484 | 2.0 | 169 | 3.5272 | 1.0 | 1.0 |
| 3.5314 | 2.9941 | 253 | 3.5110 | 1.0 | 1.0 |
| 3.5084 | 4.0 | 338 | 3.5019 | 1.0 | 1.0 |
| 3.3271 | 4.9941 | 422 | 3.2417 | 1.0 | 1.0 |
| 1.6302 | 6.0 | 507 | 1.0777 | 0.3444 | 0.3220 |
| 0.7834 | 6.9941 | 591 | 0.6123 | 0.1780 | 0.1189 |
| 0.6067 | 8.0 | 676 | 0.5169 | 0.1550 | 0.0983 |
| 0.534 | 8.9941 | 760 | 0.5095 | 0.1549 | 0.0993 |
| 0.4711 | 10.0 | 845 | 0.4976 | 0.1524 | 0.0962 |
| 0.3979 | 10.9941 | 929 | 0.4951 | 0.1497 | 0.0937 |
| 0.354 | 12.0 | 1014 | 0.5012 | 0.1505 | 0.0943 |
| 0.3415 | 12.9941 | 1098 | 0.5090 | 0.1489 | 0.0937 |
| 0.295 | 14.0 | 1183 | 0.5098 | 0.1488 | 0.0944 |
| 0.2917 | 14.9941 | 1267 | 0.5296 | 0.1507 | 0.0946 |
| 0.2397 | 16.0 | 1352 | 0.5315 | 0.1507 | 0.0944 |
| 0.2713 | 16.9941 | 1436 | 0.5367 | 0.1467 | 0.0913 |
| 0.2153 | 18.0 | 1521 | 0.5456 | 0.1483 | 0.0924 |
| 0.206 | 18.9941 | 1605 | 0.5464 | 0.1471 | 0.0914 |
| 0.2488 | 19.8817 | 1680 | 0.5487 | 0.1460 | 0.0904 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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