---
license: apache-2.0
base_model: facebook/wav2vec2-large-lv60
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-lv60_phoneme-timit_english_timit-4k_simplified_001
  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-lv60_phoneme-timit_english_timit-4k_simplified_001

This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggingface.co/facebook/wav2vec2-large-lv60) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2796
- Per: 0.1100

## 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: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- training_steps: 3000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Per    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 7.3185        | 1.04  | 300  | 3.6437          | 0.9617 |
| 2.5644        | 2.08  | 600  | 0.7668          | 0.1559 |
| 0.6782        | 3.11  | 900  | 0.3794          | 0.1231 |
| 0.4542        | 4.15  | 1200 | 0.3278          | 0.1164 |
| 0.3834        | 5.19  | 1500 | 0.3043          | 0.1151 |
| 0.3407        | 6.23  | 1800 | 0.2872          | 0.1119 |
| 0.3179        | 7.27  | 2100 | 0.2842          | 0.1110 |
| 0.2988        | 8.3   | 2400 | 0.2834          | 0.1102 |
| 0.2834        | 9.34  | 2700 | 0.2826          | 0.1100 |
| 0.2814        | 10.38 | 3000 | 0.2796          | 0.1100 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.2