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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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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_xapiens
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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_xapiens
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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: 1.9265
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- Accuracy: 0.3565
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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: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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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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| 1.4373 | 1.0 | 12 | 1.8861 | 0.3578 |
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| 1.501 | 2.0 | 24 | 1.8790 | 0.3735 |
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| 1.5003 | 3.0 | 36 | 1.8961 | 0.3696 |
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| 1.423 | 4.0 | 48 | 1.8633 | 0.3591 |
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| 1.4632 | 5.0 | 60 | 1.8994 | 0.3526 |
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| 1.4364 | 6.0 | 72 | 1.9166 | 0.3539 |
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| 1.4105 | 7.0 | 84 | 1.9423 | 0.3499 |
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| 1.3816 | 8.0 | 96 | 1.9297 | 0.3434 |
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| 1.4097 | 9.0 | 108 | 1.9315 | 0.3578 |
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| 1.3785 | 10.0 | 120 | 1.9265 | 0.3565 |
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### Framework versions
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- Transformers 4.42.0.dev0
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- Pytorch 2.3.0
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- Datasets 2.19.2.dev0
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- Tokenizers 0.19.1
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