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---
tags:
- generated_from_trainer
model-index:
- name: ''
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. -->
#
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5575
- Wer: 0.5219
## 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: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 5.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.3036 | 0.51 | 400 | 4.2199 | 0.9500 |
| 2.836 | 1.02 | 800 | 2.7748 | 1.2758 |
| 2.7021 | 1.53 | 1200 | 2.6211 | 1.1725 |
| 2.2322 | 2.04 | 1600 | 2.5714 | 1.1042 |
| 2.1435 | 2.55 | 2000 | 2.4205 | 1.0093 |
| 1.1205 | 3.06 | 2400 | 2.7612 | 0.9098 |
| 0.7821 | 3.57 | 2800 | 2.2900 | 0.8478 |
| 1.0018 | 4.08 | 3200 | 0.7970 | 0.6275 |
| 0.6312 | 4.59 | 3600 | 0.5575 | 0.5219 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 1.18.1
- Tokenizers 0.11.0
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