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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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license: mit
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base_model: FacebookAI/xlm-roberta-large
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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-xlm-roberta-large-finetuned-semeval-2
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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-xlm-roberta-large-finetuned-semeval-2
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4312
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- F1: 0.7476
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- Roc Auc: 0.8101
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- Accuracy: 0.4531
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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: 16
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- eval_batch_size: 16
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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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| 0.5734 | 1.0 | 139 | 0.5795 | 0.4593 | 0.6262 | 0.1516 |
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| 0.4662 | 2.0 | 278 | 0.4728 | 0.5379 | 0.6777 | 0.3032 |
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| 0.4162 | 3.0 | 417 | 0.4079 | 0.7009 | 0.7751 | 0.4152 |
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| 0.3298 | 4.0 | 556 | 0.4313 | 0.6911 | 0.7683 | 0.3736 |
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| 0.2603 | 5.0 | 695 | 0.4033 | 0.7355 | 0.8020 | 0.4296 |
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| 0.1685 | 6.0 | 834 | 0.4312 | 0.7476 | 0.8101 | 0.4531 |
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| 0.1225 | 7.0 | 973 | 0.4752 | 0.7326 | 0.7979 | 0.4242 |
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| 0.1152 | 8.0 | 1112 | 0.5029 | 0.7362 | 0.8019 | 0.4224 |
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| 0.0681 | 9.0 | 1251 | 0.5362 | 0.7406 | 0.8049 | 0.4278 |
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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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size 2239630972
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version https://git-lfs.github.com/spec/v1
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size 2239630972
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