End of training

README.md

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+---
+library_name: transformers
+base_model: cardiffnlp/twitter-roberta-base-sentiment
+tags:
+- generated_from_trainer
+model-index:
+- name: twitter-roberta-base-sentiment-finetuned-emotionverse
+  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. -->
+
+# twitter-roberta-base-sentiment-finetuned-emotionverse
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.6856
+- Model Preparation Time: 0.0181
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|
+| 9.812         | 1.0   | 29   | 7.1491          | 0.0181                 |
+| 6.7031        | 2.0   | 58   | 5.9702          | 0.0181                 |
+| 6.0847        | 3.0   | 87   | 5.8832          | 0.0181                 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 2.14.4
+- Tokenizers 0.21.1