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library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: model_dialect
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. -->
# model_dialect
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8947
- Accuracy: 0.6975
## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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_ratio: 0.1
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 6.4185 | 0.9455 | 13 | 1.5833 | 0.2979 |
| 6.3212 | 1.9636 | 27 | 1.5130 | 0.3118 |
| 5.7314 | 2.9818 | 41 | 1.3549 | 0.4711 |
| 5.3036 | 4.0 | 55 | 1.2348 | 0.5150 |
| 4.9932 | 4.9455 | 68 | 1.1989 | 0.5058 |
| 4.5875 | 5.9636 | 82 | 1.1178 | 0.5704 |
| 4.327 | 6.9818 | 96 | 1.0420 | 0.6443 |
| 3.9131 | 8.0 | 110 | 1.0319 | 0.6282 |
| 3.7915 | 8.9455 | 123 | 0.9752 | 0.6744 |
| 3.6121 | 9.9636 | 137 | 0.9379 | 0.6651 |
| 3.4393 | 10.9818 | 151 | 0.9254 | 0.6928 |
| 3.2218 | 12.0 | 165 | 0.9149 | 0.6767 |
| 3.1582 | 12.9455 | 178 | 0.9063 | 0.6952 |
| 2.9563 | 13.9636 | 192 | 0.8947 | 0.6975 |
| 2.9563 | 14.1818 | 195 | 0.8946 | 0.6975 |
### Framework versions
- Transformers 4.46.0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
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