---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: CS337_finetune_wav2vec_base
  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. -->

# CS337_finetune_wav2vec_base

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9254
- Accuracy: 0.6485

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.2727        | 0.97  | 28   | 1.2536          | 0.5520   |
| 1.2855        | 1.98  | 57   | 1.1553          | 0.5520   |
| 1.2834        | 2.99  | 86   | 1.1334          | 0.5305   |
| 1.127         | 4.0   | 115  | 0.9970          | 0.5799   |
| 1.1262        | 4.97  | 143  | 0.9905          | 0.6168   |
| 1.2568        | 5.98  | 172  | 0.9853          | 0.6155   |
| 1.1343        | 6.99  | 201  | 0.9947          | 0.6218   |
| 1.0321        | 8.0   | 230  | 0.9495          | 0.6294   |
| 1.0019        | 8.97  | 258  | 0.9227          | 0.6548   |
| 0.9676        | 9.74  | 280  | 0.9254          | 0.6485   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1