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

# test-model

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6441
- Accuracy: 0.8966

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.9231 | 3    | 1.0856          | 0.5517   |
| No log        | 1.8462 | 6    | 1.0685          | 0.7586   |
| No log        | 2.7692 | 9    | 0.9550          | 0.7931   |
| No log        | 4.0    | 13   | 0.8194          | 0.7931   |
| No log        | 4.9231 | 16   | 0.7648          | 0.7931   |
| No log        | 5.8462 | 19   | 0.7405          | 0.7931   |
| No log        | 6.7692 | 22   | 0.6911          | 0.7931   |
| No log        | 8.0    | 26   | 0.6441          | 0.8966   |
| No log        | 8.9231 | 29   | 0.6226          | 0.8966   |
| No log        | 9.2308 | 30   | 0.6165          | 0.8966   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1