---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exp_1715080677
  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. -->

# exp_1715080677

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4691
- Accuracy: 0.8862

## 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: 1e-05
- train_batch_size: 8
- 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_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6743        | 1.0   | 312  | 0.6215          | 0.7933   |
| 0.563         | 2.0   | 624  | 0.5459          | 0.8349   |
| 0.4834        | 3.0   | 936  | 0.5464          | 0.8606   |
| 0.3928        | 4.0   | 1248 | 0.4926          | 0.8782   |
| 0.3749        | 5.0   | 1560 | 0.4566          | 0.8846   |
| 0.5111        | 6.0   | 1872 | 0.4765          | 0.8734   |
| 0.2556        | 7.0   | 2184 | 0.4317          | 0.8958   |
| 0.2757        | 8.0   | 2496 | 0.4220          | 0.8926   |
| 0.342         | 9.0   | 2808 | 0.4290          | 0.8958   |
| 0.4211        | 10.0  | 3120 | 0.4691          | 0.8862   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1