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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ser_model_fixed_label
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. -->
# ser_model_fixed_label
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: 0.7010
- Accuracy: 0.8367
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.7645 | 0.96 | 18 | 1.5899 | 0.4333 |
| 1.5148 | 1.96 | 36 | 1.4152 | 0.4433 |
| 1.3042 | 2.96 | 54 | 1.1857 | 0.5767 |
| 1.1184 | 3.96 | 72 | 1.0508 | 0.62 |
| 0.9588 | 4.96 | 90 | 0.9329 | 0.7 |
| 0.9789 | 5.96 | 108 | 0.8638 | 0.74 |
| 0.7835 | 6.96 | 126 | 0.7730 | 0.8133 |
| 0.7259 | 7.96 | 144 | 0.7355 | 0.83 |
| 0.6783 | 8.96 | 162 | 0.7190 | 0.8333 |
| 0.6644 | 9.96 | 180 | 0.7010 | 0.8367 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
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