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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xls-r-300m-dm32
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-large-xls-r-300m-dm32
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: 0.5688
- Accuracy: 0.7917
## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 22
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 2.41 | 34 | 0.6769 | 0.6458 |
| No log | 4.83 | 68 | 0.6864 | 0.5208 |
| No log | 7.28 | 102 | 0.6596 | 0.6042 |
| 0.7106 | 9.69 | 136 | 0.6208 | 0.6875 |
| 0.7106 | 12.14 | 170 | 0.6152 | 0.6875 |
| 0.7106 | 14.55 | 204 | 0.6167 | 0.6875 |
| 0.6464 | 16.97 | 238 | 0.5782 | 0.7708 |
| 0.6464 | 19.41 | 272 | 0.6011 | 0.7292 |
| 0.6464 | 21.83 | 306 | 0.5688 | 0.7917 |
### Framework versions
- Transformers 4.16.2
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.11.0
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