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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
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
|