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---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: training
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. -->
# training
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: 2.0763
- Wer: 0.9551
## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 25
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-------:|:----:|:---------------:|:------:|
| 3.6154 | 3.3557 | 500 | 3.6223 | 1.0 |
| 3.6729 | 6.7114 | 1000 | 3.5869 | 1.0 |
| 3.6718 | 10.0671 | 1500 | 3.5824 | 1.0 |
| 3.7365 | 13.4228 | 2000 | 3.5829 | 1.0 |
| 3.5897 | 16.7785 | 2500 | 3.5750 | 1.0 |
| 3.5689 | 20.1342 | 3000 | 3.2325 | 1.0 |
| 2.4663 | 23.4899 | 3500 | 2.0763 | 0.9551 |
### Framework versions
- Transformers 4.57.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.22.1
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