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

# Cafe_model

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: 1.2158
- Accuracy: 0.4643

## 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: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.8571 | 3    | 1.3714          | 0.3095   |
| No log        | 2.0    | 7    | 1.3197          | 0.3929   |
| 1.3442        | 2.8571 | 10   | 1.2993          | 0.3571   |
| 1.3442        | 4.0    | 14   | 1.2720          | 0.4881   |
| 1.3442        | 4.8571 | 17   | 1.2573          | 0.4881   |
| 1.2315        | 6.0    | 21   | 1.2405          | 0.4405   |
| 1.2315        | 6.8571 | 24   | 1.2327          | 0.4167   |
| 1.2315        | 8.0    | 28   | 1.2189          | 0.4762   |
| 1.1119        | 8.5714 | 30   | 1.2158          | 0.4643   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1