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---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-asr-th-2
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-large-asr-th-2
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1961
- Wer: 0.3488
- Cer: 0.0967
## 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: 0.0002
- train_batch_size: 24
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 600
- training_steps: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.5833 | 0.36 | 1000 | 0.2734 | 0.4104 | 0.1166 |
| 0.5996 | 0.71 | 2000 | 0.2426 | 0.3957 | 0.1114 |
| 0.4372 | 1.07 | 3000 | 0.2234 | 0.3716 | 0.1029 |
| 0.4109 | 1.42 | 4000 | 0.2070 | 0.3570 | 0.0976 |
| 0.3881 | 1.78 | 5000 | 0.1961 | 0.3488 | 0.0967 |
### Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
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