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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
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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
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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: 0.4615
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- Accuracy: 0.8471
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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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| 1.0541 | 1.0 | 162 | 0.9782 | 0.6650 |
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| 0.7858 | 2.0 | 324 | 0.6777 | 0.7624 |
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| 0.5927 | 3.0 | 486 | 0.5659 | 0.8028 |
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| 0.4803 | 4.0 | 648 | 0.5004 | 0.8186 |
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| 0.3951 | 5.0 | 810 | 0.4971 | 0.8175 |
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| 0.3656 | 6.0 | 972 | 0.4670 | 0.8310 |
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| 0.286 | 7.0 | 1134 | 0.4965 | 0.8306 |
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| 0.2879 | 8.0 | 1296 | 0.4620 | 0.8421 |
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| 0.2417 | 9.0 | 1458 | 0.4554 | 0.8460 |
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| 0.2182 | 10.0 | 1620 | 0.4615 | 0.8471 |
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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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