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Semhal2024/emotion-model3_fold_2

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: mit
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+ base_model: xlm-roberta-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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+ - f1
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+ model-index:
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+ - name: emotion-model11_2
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+ results: []
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+ ---
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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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+
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+ # emotion-model11_2
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+
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0629
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+ - Accuracy: 0.5583
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+ - F1: 0.4935
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH 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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 41 | 1.3051 | 0.4356 | 0.2643 |
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+ | 1.3528 | 2.0 | 82 | 1.2167 | 0.4540 | 0.3105 |
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+ | 1.277 | 3.0 | 123 | 1.1665 | 0.4908 | 0.4415 |
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+ | 1.1653 | 4.0 | 164 | 1.0812 | 0.5276 | 0.4454 |
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+ | 1.1339 | 5.0 | 205 | 1.1394 | 0.5092 | 0.4484 |
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+ | 1.1339 | 6.0 | 246 | 1.1019 | 0.5153 | 0.4553 |
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+ | 1.1081 | 7.0 | 287 | 1.0528 | 0.5399 | 0.4727 |
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+ | 1.0794 | 8.0 | 328 | 1.0629 | 0.5583 | 0.4935 |
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+ | 1.0727 | 9.0 | 369 | 1.0426 | 0.5399 | 0.4737 |
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+ | 1.0608 | 10.0 | 410 | 1.0567 | 0.5399 | 0.4856 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.52.4
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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