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

# my_awesome_speach_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: 0.6840
- Accuracy: 0.5385

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| No log        | 0.8889 | 6    | 0.6979          | 0.4615   |
| 0.6886        | 1.9259 | 13   | 0.7005          | 0.4615   |
| 0.6771        | 2.9630 | 20   | 0.6863          | 0.6154   |
| 0.6771        | 4.0    | 27   | 0.6987          | 0.5385   |
| 0.6665        | 4.8889 | 33   | 0.6768          | 0.4615   |
| 0.6386        | 5.9259 | 40   | 0.6738          | 0.6154   |
| 0.6386        | 6.9630 | 47   | 0.7016          | 0.5385   |
| 0.6193        | 8.0    | 54   | 0.6916          | 0.5385   |
| 0.6091        | 8.8889 | 60   | 0.6840          | 0.5385   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3