End of training

README.md

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+---
+library_name: transformers
+language:
+- en
+base_model: cardiffnlp/twitter-roberta-base-sentiment
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: twitter-roberta-base-sentiment-finetuned-sentiment
+  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-sentiment
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on the Twitter Sentiment Datasets dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4905
+- Accuracy: 0.8123
+
+## 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: 32
+- eval_batch_size: 32
+- 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: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5275        | 1.0   | 1250 | 0.4646          | 0.8098   |
+| 0.4013        | 2.0   | 2500 | 0.4905          | 0.8123   |
+| 0.2941        | 3.0   | 3750 | 0.5455          | 0.8104   |
+| 0.2136        | 4.0   | 5000 | 0.6100          | 0.8096   |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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