---
tags:
- generated_from_trainer
model-index:
- name: super_large_finetune_CM01
  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. -->

# super_large_finetune_CM01

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.2285
- Wer: 0.7714

## 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: 15
- 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: 857
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Wer    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.0031        | 5.0   | 1715  | 1.9766          | 0.7857 |
| 0.2107        | 10.0  | 3430  | 3.8748          | 0.8238 |
| 0.1393        | 15.0  | 5145  | 4.7403          | 0.7952 |
| 0.0931        | 20.0  | 6860  | 3.5077          | 0.6667 |
| 0.0649        | 25.0  | 8575  | 7.7419          | 0.9333 |
| 0.0592        | 30.0  | 10290 | 5.6440          | 0.7762 |
| 0.0396        | 35.0  | 12005 | 6.9629          | 0.6810 |
| 0.03          | 40.0  | 13720 | 7.8282          | 0.7524 |
| 0.0191        | 45.0  | 15435 | 6.4626          | 0.7429 |
| 0.0121        | 50.0  | 17150 | 7.2285          | 0.7714 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1