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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bhadresh-savani/roberta-base-emotion
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: CS221-roberta-base-emotion-finetuned-semeval
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# CS221-roberta-base-emotion-finetuned-semeval
+
+This model is a fine-tuned version of [bhadresh-savani/roberta-base-emotion](https://huggingface.co/bhadresh-savani/roberta-base-emotion) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4054
+- F1: 0.7527
+- Roc Auc: 0.8133
+- Accuracy: 0.4585
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.4444        | 1.0   | 139  | 0.4241          | 0.6890 | 0.7666  | 0.3484   |
+| 0.3719        | 2.0   | 278  | 0.3867          | 0.7102 | 0.7800  | 0.4079   |
+| 0.2955        | 3.0   | 417  | 0.3791          | 0.7279 | 0.7953  | 0.4152   |
+| 0.2207        | 4.0   | 556  | 0.3936          | 0.7515 | 0.8134  | 0.4477   |
+| 0.1655        | 5.0   | 695  | 0.4155          | 0.7527 | 0.8170  | 0.4278   |
+| 0.1111        | 6.0   | 834  | 0.4054          | 0.7527 | 0.8133  | 0.4585   |
+| 0.0844        | 7.0   | 973  | 0.4482          | 0.7353 | 0.7976  | 0.4711   |
+| 0.0655        | 8.0   | 1112 | 0.4649          | 0.7523 | 0.8118  | 0.4783   |
+| 0.0475        | 9.0   | 1251 | 0.4960          | 0.7482 | 0.8107  | 0.4621   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

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