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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: XLS-R_timit_en
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. -->
# XLS-R_timit_en
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2960
- Wer: 0.2705
## 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: 8
- 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 3.6358 | 2.01 | 1000 | 0.7983 | 0.7896 |
| 0.6096 | 4.02 | 2000 | 0.2907 | 0.3794 |
| 0.314 | 6.02 | 3000 | 0.2625 | 0.3246 |
| 0.2259 | 8.03 | 4000 | 0.2673 | 0.3058 |
| 0.1771 | 10.04 | 5000 | 0.2518 | 0.2932 |
| 0.1474 | 12.05 | 6000 | 0.2717 | 0.2900 |
| 0.1267 | 14.06 | 7000 | 0.2700 | 0.2821 |
| 0.1069 | 16.06 | 8000 | 0.2941 | 0.2834 |
| 0.0991 | 18.07 | 9000 | 0.3021 | 0.2806 |
| 0.0853 | 20.08 | 10000 | 0.3088 | 0.2803 |
| 0.0787 | 22.09 | 11000 | 0.2987 | 0.2770 |
| 0.067 | 24.1 | 12000 | 0.3182 | 0.2734 |
| 0.0652 | 26.1 | 13000 | 0.3117 | 0.2701 |
| 0.0636 | 28.11 | 14000 | 0.2960 | 0.2705 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
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