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---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-Odia-large-xlsr53
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-Odia-large-xlsr53
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: 0.2083
- Wer: 0.1897
- Cer: 0.0476
## 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: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 3000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 6.9058 | 2.3622 | 300 | 3.1227 | 1.0 | 0.8690 |
| 1.1432 | 4.7244 | 600 | 0.4002 | 0.4333 | 0.1134 |
| 0.2628 | 7.0866 | 900 | 0.3145 | 0.3314 | 0.0850 |
| 0.1368 | 9.4488 | 1200 | 0.2585 | 0.2716 | 0.0686 |
| 0.0865 | 11.8110 | 1500 | 0.2332 | 0.2524 | 0.0619 |
| 0.0596 | 14.1732 | 1800 | 0.2253 | 0.2196 | 0.0538 |
| 0.0445 | 16.5354 | 2100 | 0.2202 | 0.2100 | 0.0527 |
| 0.0324 | 18.8976 | 2400 | 0.2126 | 0.2001 | 0.0511 |
| 0.0264 | 21.2598 | 2700 | 0.2089 | 0.1966 | 0.0498 |
| 0.0211 | 23.6220 | 3000 | 0.2083 | 0.1897 | 0.0476 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 1.18.3
- Tokenizers 0.19.1
|