---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-teacher-base-student-en-asr-timit
  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-large-teacher-base-student-en-asr-timit

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: 73.5882
- Wer: 0.3422

## 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: 64
- 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    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 920.6083      | 3.17  | 200  | 1256.0675       | 1.0    |
| 660.5993      | 6.35  | 400  | 717.6098        | 0.9238 |
| 336.5288      | 9.52  | 600  | 202.0025        | 0.5306 |
| 131.3178      | 12.7  | 800  | 108.0701        | 0.4335 |
| 73.4232       | 15.87 | 1000 | 90.2797         | 0.3728 |
| 54.9439       | 19.05 | 1200 | 76.9043         | 0.3636 |
| 44.6595       | 22.22 | 1400 | 79.2443         | 0.3550 |
| 38.6381       | 25.4  | 1600 | 73.6277         | 0.3493 |
| 35.074        | 28.57 | 1800 | 73.5882         | 0.3422 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2