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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: multi_stage_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. -->
# multi_stage_2
This model is a fine-tuned version of [pnparam/multi_stage_1](https://huggingface.co/pnparam/multi_stage_1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0510
- Wer: 1.3520
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.4404 | 1.36 | 500 | 0.1073 | 1.5140 |
| 0.1394 | 2.72 | 1000 | 0.1557 | 1.5888 |
| 0.1497 | 4.09 | 1500 | 0.1029 | 1.4735 |
| 0.0616 | 5.45 | 2000 | 0.0558 | 1.2118 |
| 0.0406 | 6.81 | 2500 | 0.0510 | 1.3520 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2
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