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---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-E10_speed_pause2
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-E10_speed_pause2
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2505
- Cer: 29.8296
## 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: 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 34.0244 | 0.1289 | 200 | 5.3369 | 100.0 |
| 5.0173 | 0.2579 | 400 | 4.7266 | 100.0 |
| 4.8452 | 0.3868 | 600 | 4.6853 | 100.0 |
| 4.7774 | 0.5158 | 800 | 4.5774 | 97.9377 |
| 4.6964 | 0.6447 | 1000 | 4.5999 | 97.9495 |
| 4.6269 | 0.7737 | 1200 | 4.4835 | 96.6569 |
| 4.4084 | 0.9026 | 1400 | 4.5428 | 96.0811 |
| 3.6551 | 1.0316 | 1600 | 3.4889 | 67.0094 |
| 2.8629 | 1.1605 | 1800 | 2.8535 | 54.0541 |
| 2.444 | 1.2895 | 2000 | 2.3817 | 48.1610 |
| 2.1451 | 1.4184 | 2200 | 2.1738 | 44.4418 |
| 1.8677 | 1.5474 | 2400 | 2.0255 | 42.4794 |
| 1.7019 | 1.6763 | 2600 | 1.8023 | 38.5546 |
| 1.5671 | 1.8053 | 2800 | 1.6997 | 36.3749 |
| 1.4107 | 1.9342 | 3000 | 1.6382 | 38.1316 |
| 1.2989 | 2.0632 | 3200 | 1.5183 | 33.8837 |
| 1.1951 | 2.1921 | 3400 | 1.4678 | 33.1610 |
| 1.0867 | 2.3211 | 3600 | 1.4365 | 33.0552 |
| 1.083 | 2.4500 | 3800 | 1.2930 | 30.1234 |
| 1.0106 | 2.5790 | 4000 | 1.2864 | 30.2585 |
| 0.9832 | 2.7079 | 4200 | 1.2784 | 30.0411 |
| 0.9353 | 2.8369 | 4400 | 1.2633 | 29.9471 |
| 0.9108 | 2.9658 | 4600 | 1.2505 | 29.8296 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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