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

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:
- Accuracy: 0.8830
- Loss: 0.4259

## 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: 3e-05
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| 0.7016        | 1.0   | 125  | 0.7933   | 0.6439          |
| 0.7121        | 2.0   | 250  | 0.5962   | 0.7870          |
| 0.4491        | 3.0   | 375  | 0.8782   | 0.4561          |
| 0.4606        | 4.0   | 500  | 0.8526   | 0.5664          |
| 0.425         | 5.0   | 625  | 0.8718   | 0.4652          |
| 0.4852        | 6.0   | 750  | 0.8397   | 0.5111          |
| 0.3023        | 7.0   | 875  | 0.8766   | 0.4319          |
| 0.2247        | 8.0   | 1000 | 0.8654   | 0.5093          |
| 0.4269        | 9.0   | 1125 | 0.8926   | 0.4148          |
| 0.348         | 10.0  | 1250 | 0.8846   | 0.3861          |
| 0.5049        | 11.0  | 1375 | 0.8814   | 0.4141          |
| 0.2305        | 12.0  | 1500 | 0.8878   | 0.3804          |
| 0.2839        | 13.0  | 1625 | 0.8990   | 0.3682          |
| 0.1739        | 14.0  | 1750 | 0.9022   | 0.3917          |
| 0.2808        | 15.0  | 1875 | 0.8926   | 0.4303          |
| 0.2306        | 16.0  | 2000 | 0.9006   | 0.3951          |
| 0.2766        | 17.0  | 2125 | 0.8974   | 0.4003          |
| 0.1212        | 18.0  | 2250 | 0.8910   | 0.3999          |
| 0.2822        | 19.0  | 2375 | 0.8766   | 0.4390          |
| 0.1391        | 20.0  | 2500 | 0.8830   | 0.4259          |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1