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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: 1.6879
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- Accuracy: 0.4050
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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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| No log | 1.0 | 9 | 1.9247 | 0.4063 |
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| 2.0359 | 2.0 | 18 | 1.7484 | 0.4063 |
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| 1.8346 | 3.0 | 27 | 1.7171 | 0.4063 |
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| 1.7777 | 4.0 | 36 | 1.7039 | 0.4063 |
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| 1.7825 | 5.0 | 45 | 1.6975 | 0.4063 |
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| 1.7578 | 6.0 | 54 | 1.6899 | 0.4076 |
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| 1.7549 | 7.0 | 63 | 1.6824 | 0.4181 |
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| 1.732 | 8.0 | 72 | 1.6886 | 0.4050 |
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| 1.7433 | 9.0 | 81 | 1.6975 | 0.3919 |
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| 1.7299 | 10.0 | 90 | 1.6879 | 0.4050 |
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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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