---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-base
model-index:
- name: final_model_1
  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. -->

# final_model_1

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:
- eval_loss: 2.5972
- eval_wer: 1.0
- eval_runtime: 28.1256
- eval_samples_per_second: 16.035
- eval_steps_per_second: 2.027
- epoch: 6.2112
- step: 1000

## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.15.0
- Tokenizers 0.19.1