End of training

README.md

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+---
+library_name: transformers
+base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
+tags:
+- generated_from_trainer
+model-index:
+- name: finetuning-sentiment-model-news-2
+  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. -->
+
+# finetuning-sentiment-model-news-2
+
+This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.5041
+- eval_model_preparation_time: 0.0045
+- eval_accuracy: 0.8886
+- eval_precision: 0.8943
+- eval_recall: 0.8886
+- eval_f1: 0.8902
+- eval_runtime: 7.1419
+- eval_samples_per_second: 334.365
+- eval_steps_per_second: 21.003
+- step: 0
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.44.1
+- Pytorch 2.4.1
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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