---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: mst_hp5
  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. -->

# mst_hp5

This model is a fine-tuned version of [Sjdan/mst_1](https://huggingface.co/Sjdan/mst_1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0318
- Wer: 1.3707

## 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: 4
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.6474        | 0.68  | 500  | 0.9410          | 2.2056 |
| 0.861         | 1.36  | 1000 | 0.2756          | 1.7009 |
| 0.4965        | 2.04  | 1500 | 0.1673          | 1.8972 |
| 0.2657        | 2.72  | 2000 | 0.1216          | 1.8785 |
| 0.204         | 3.41  | 2500 | 0.0882          | 1.4424 |
| 0.1388        | 4.09  | 3000 | 0.0453          | 1.6636 |
| 0.1099        | 4.77  | 3500 | 0.0408          | 1.4953 |
| 0.0673        | 5.45  | 4000 | 0.0402          | 1.5452 |
| 0.0585        | 6.13  | 4500 | 0.0422          | 1.3863 |
| 0.036         | 6.81  | 5000 | 0.0318          | 1.3707 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2