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Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: FacebookAI/roberta-base
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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: CS221-roberta-base-finetuned-semeval-new
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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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# CS221-roberta-base-finetuned-semeval-new
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3023
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- F1: 0.6800
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- Roc Auc: 0.7986
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- Accuracy: 0.5811
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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: 8
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- seed: 42
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- optimizer: Use 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: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
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| 0.2592 | 1.0 | 1936 | 0.2815 | 0.6505 | 0.7740 | 0.5556 |
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| 0.2839 | 2.0 | 3872 | 0.2787 | 0.6510 | 0.7688 | 0.5700 |
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| 0.1879 | 3.0 | 5808 | 0.3023 | 0.6800 | 0.7986 | 0.5811 |
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| 0.1552 | 4.0 | 7744 | 0.3485 | 0.6573 | 0.7867 | 0.5548 |
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| 0.1182 | 5.0 | 9680 | 0.4063 | 0.6497 | 0.7833 | 0.5465 |
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| 0.0822 | 6.0 | 11616 | 0.4614 | 0.6510 | 0.7747 | 0.5654 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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version https://git-lfs.github.com/spec/v1
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size 498622052
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