---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: batch_size_4
  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. -->

# batch_size_4

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5806

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 12.4967       | 3.36  | 200  | 3.6996          |
| 3.7           | 6.72  | 400  | 3.5820          |
| 3.5581        | 10.08 | 600  | 3.2334          |
| 2.7618        | 13.45 | 800  | 2.2745          |
| 1.7252        | 16.81 | 1000 | 1.6220          |
| 1.0954        | 20.17 | 1200 | 1.6073          |
| 0.7551        | 23.53 | 1400 | 1.6130          |
| 0.5615        | 26.89 | 1600 | 1.5806          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2