Final SER Model Standard
Browse files- README.md +73 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- accuracy
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model-index:
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- name: wav2vec-bert-ser-standard
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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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# wav2vec-bert-ser-standard
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3597
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- F1: 0.5549
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- Accuracy: 0.564
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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| 30.8905 | 1.0 | 16 | 3.6367 | 0.1464 | 0.24 |
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| 28.7614 | 2.0 | 32 | 3.5061 | 0.1679 | 0.256 |
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| 27.0469 | 3.0 | 48 | 3.3160 | 0.3390 | 0.388 |
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| 27.3445 | 4.0 | 64 | 3.0776 | 0.3525 | 0.396 |
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| 24.3884 | 5.0 | 80 | 2.9147 | 0.4089 | 0.452 |
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| 24.4721 | 6.0 | 96 | 2.7240 | 0.4445 | 0.472 |
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| 22.5651 | 7.0 | 112 | 2.6093 | 0.5077 | 0.532 |
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| 21.9695 | 8.0 | 128 | 2.6026 | 0.4392 | 0.476 |
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| 21.3548 | 9.0 | 144 | 2.3849 | 0.5656 | 0.584 |
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| 18.9157 | 10.0 | 160 | 2.3597 | 0.5549 | 0.564 |
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### Framework versions
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- Transformers 5.0.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.8.3
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- Tokenizers 0.22.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2323135412
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version https://git-lfs.github.com/spec/v1
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size 2323135412
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