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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-librispeech
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-librispeech
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: 0.2162
- Wer: 0.1419
## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 3.606 | 4.13 | 500 | 2.0411 | 0.7943 |
| 0.3862 | 8.26 | 1000 | 0.3058 | 0.2202 |
| 0.1253 | 12.4 | 1500 | 0.2450 | 0.1908 |
| 0.0794 | 16.53 | 2000 | 0.2152 | 0.1531 |
| 0.0566 | 20.66 | 2500 | 0.2012 | 0.1457 |
| 0.0446 | 24.79 | 3000 | 0.2061 | 0.1432 |
| 0.0363 | 28.93 | 3500 | 0.2162 | 0.1419 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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