---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: batch_size_8_50_epochs_base_model
  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_8_50_epochs_base_model

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6780

## 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: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 10.5872       | 6.67  | 200  | 3.6529          |
| 3.8231        | 13.33 | 400  | 3.7135          |
| 3.7257        | 20.0  | 600  | 3.7110          |
| 3.7043        | 26.67 | 800  | 3.6998          |
| 3.6979        | 33.33 | 1000 | 3.6782          |
| 3.6876        | 40.0  | 1200 | 3.6811          |
| 3.6897        | 46.67 | 1400 | 3.6780          |


### Framework versions

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