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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: f05_main
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. -->
# f05_main
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0948
- Wer: 1.7578
## 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: 7
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.7677 | 0.96 | 500 | 3.1738 | 1.0 |
| 2.7137 | 1.92 | 1000 | 1.9605 | 2.5 |
| 1.2183 | 2.88 | 1500 | 0.4168 | 1.94 |
| 0.352 | 3.84 | 2000 | 0.1380 | 1.6622 |
| 0.1537 | 4.8 | 2500 | 0.1150 | 1.8356 |
| 0.0713 | 5.76 | 3000 | 0.1095 | 1.7733 |
| 0.057 | 6.72 | 3500 | 0.0948 | 1.7578 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2
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