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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: ser_model_fixed_label
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# ser_model_fixed_label
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7010
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- Accuracy: 0.8367
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.7645 | 0.96 | 18 | 1.5899 | 0.4333 |
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| 1.5148 | 1.96 | 36 | 1.4152 | 0.4433 |
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| 1.3042 | 2.96 | 54 | 1.1857 | 0.5767 |
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| 1.1184 | 3.96 | 72 | 1.0508 | 0.62 |
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| 0.9588 | 4.96 | 90 | 0.9329 | 0.7 |
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| 0.9789 | 5.96 | 108 | 0.8638 | 0.74 |
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| 0.7835 | 6.96 | 126 | 0.7730 | 0.8133 |
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| 0.7259 | 7.96 | 144 | 0.7355 | 0.83 |
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| 0.6783 | 8.96 | 162 | 0.7190 | 0.8333 |
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| 0.6644 | 9.96 | 180 | 0.7010 | 0.8367 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.12.1
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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