---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-finetuned-eos_poc5_ge-di-v6
  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-finetuned-eos_poc5_ge-di-v6

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: 0.7719
- Accuracy: 0.7027

## 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: 64
- eval_batch_size: 64
- seed: 42
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4983        | 1.0   | 969  | 0.5273          | 0.7689   |
| 0.5294        | 2.0   | 1938 | 0.5109          | 0.7689   |
| 0.4616        | 3.0   | 2907 | 0.5272          | 0.7689   |
| 0.4737        | 4.0   | 3876 | 0.5198          | 0.7574   |
| 0.4532        | 5.0   | 4845 | 0.5339          | 0.7380   |
| 0.427         | 6.0   | 5814 | 0.5641          | 0.7256   |
| 0.3511        | 7.0   | 6783 | 0.6205          | 0.7383   |
| 0.3435        | 8.0   | 7752 | 0.6753          | 0.7104   |
| 0.3003        | 9.0   | 8721 | 0.7102          | 0.7226   |
| 0.251         | 10.0  | 9690 | 0.7719          | 0.7027   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0