---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-base
metrics:
- wer
model-index:
- name: w2v2-libri-10min
  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. -->

# w2v2-libri-10min

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: 1.9408
- Wer: 0.5837

## 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: 0.0003
- train_batch_size: 16
- 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
- training_steps: 2500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.8824        | 62.5  | 250  | 2.9255          | 1.0    |
| 0.7061        | 125.0 | 500  | 1.5759          | 0.6321 |
| 0.066         | 187.5 | 750  | 1.7474          | 0.6183 |
| 0.0326        | 250.0 | 1000 | 1.7446          | 0.6224 |
| 0.0205        | 312.5 | 1250 | 1.8737          | 0.6252 |
| 0.0445        | 375.0 | 1500 | 1.9835          | 0.6210 |
| 0.0084        | 437.5 | 1750 | 1.8829          | 0.6141 |
| 0.0068        | 500.0 | 2000 | 1.9136          | 0.6058 |
| 0.0037        | 562.5 | 2250 | 1.8990          | 0.5864 |
| 0.003         | 625.0 | 2500 | 1.9408          | 0.5837 |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 1.18.1
- Tokenizers 0.19.1