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

# model_result

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: 0.6132
- Accuracy: 0.9038

## 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: 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: 30

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| No log        | 0.9231  | 3    | 1.6081          | 0.1538   |
| No log        | 1.8462  | 6    | 1.5995          | 0.1731   |
| No log        | 2.7692  | 9    | 1.5848          | 0.25     |
| 1.598         | 4.0     | 13   | 1.5500          | 0.3365   |
| 1.598         | 4.9231  | 16   | 1.5076          | 0.4904   |
| 1.598         | 5.8462  | 19   | 1.4453          | 0.6827   |
| 1.5052        | 6.7692  | 22   | 1.3662          | 0.6731   |
| 1.5052        | 8.0     | 26   | 1.2518          | 0.7212   |
| 1.5052        | 8.9231  | 29   | 1.1767          | 0.7308   |
| 1.2847        | 9.8462  | 32   | 1.1189          | 0.6923   |
| 1.2847        | 10.7692 | 35   | 1.0484          | 0.7596   |
| 1.2847        | 12.0    | 39   | 1.0011          | 0.7115   |
| 1.081         | 12.9231 | 42   | 0.9297          | 0.7692   |
| 1.081         | 13.8462 | 45   | 0.9014          | 0.7404   |
| 1.081         | 14.7692 | 48   | 0.8527          | 0.7692   |
| 0.9228        | 16.0    | 52   | 0.7915          | 0.8462   |
| 0.9228        | 16.9231 | 55   | 0.8105          | 0.75     |
| 0.9228        | 17.8462 | 58   | 0.7530          | 0.7885   |
| 0.7978        | 18.7692 | 61   | 0.7055          | 0.8558   |
| 0.7978        | 20.0    | 65   | 0.6827          | 0.8846   |
| 0.7978        | 20.9231 | 68   | 0.6725          | 0.8654   |
| 0.6996        | 21.8462 | 71   | 0.6646          | 0.875    |
| 0.6996        | 22.7692 | 74   | 0.6351          | 0.9038   |
| 0.6996        | 24.0    | 78   | 0.6202          | 0.9135   |
| 0.6471        | 24.9231 | 81   | 0.6186          | 0.9038   |
| 0.6471        | 25.8462 | 84   | 0.6157          | 0.8942   |
| 0.6471        | 26.7692 | 87   | 0.6148          | 0.8942   |
| 0.6172        | 27.6923 | 90   | 0.6132          | 0.9038   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1