---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base_lr_4e-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. -->

# wav2vec2-base_lr_4e-4

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: 0.0997
- Accuracy: 0.9625

## 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: 0.0004
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.6571        | 0.9851 | 33   | 1.3089          | 0.5679   |
| 0.9453        | 2.0    | 67   | 0.6596          | 0.7769   |
| 0.5682        | 2.9851 | 100  | 0.4865          | 0.8482   |
| 0.5507        | 4.0    | 134  | 0.4255          | 0.8575   |
| 0.4859        | 4.9851 | 167  | 0.2552          | 0.9044   |
| 0.3461        | 6.0    | 201  | 0.3066          | 0.8969   |
| 0.358         | 6.9851 | 234  | 0.1916          | 0.9269   |
| 0.2854        | 8.0    | 268  | 0.1589          | 0.9447   |
| 0.192         | 8.9851 | 301  | 0.1160          | 0.9550   |
| 0.1969        | 9.8507 | 330  | 0.0997          | 0.9625   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1