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update model card README.md
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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: CREMA_D_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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# CREMA_D_Model
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1271
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- Accuracy: 0.6482
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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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| 2.2193 | 0.99 | 37 | 2.0014 | 0.3401 |
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| 1.6836 | 1.99 | 74 | 1.6057 | 0.5340 |
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| 1.4577 | 2.98 | 111 | 1.4999 | 0.5206 |
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| 1.3564 | 4.0 | 149 | 1.3995 | 0.5550 |
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| 1.2754 | 4.99 | 186 | 1.2783 | 0.6096 |
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| 1.1627 | 5.99 | 223 | 1.2963 | 0.5894 |
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| 1.0532 | 6.98 | 260 | 1.1640 | 0.6415 |
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| 1.0318 | 8.0 | 298 | 1.1758 | 0.6339 |
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| 0.9713 | 8.99 | 335 | 1.1349 | 0.6398 |
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| 0.938 | 9.93 | 370 | 1.1271 | 0.6482 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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