update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- recall
+- precision
+model-index:
+- name: sentiment-roberta_base-e4-b16
+  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. -->
+
+# sentiment-roberta_base-e4-b16
+
+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: 1.6110
+- F1: 0.7385
+- Recall: 0.7385
+- Precision: 0.7385
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
+| No log        | 1.0   | 375  | 0.8888          | 0.7493 | 0.7493 | 0.7493    |
+| 0.461         | 2.0   | 750  | 1.1518          | 0.7493 | 0.7493 | 0.7493    |
+| 0.1578        | 3.0   | 1125 | 1.5342          | 0.7358 | 0.7358 | 0.7358    |
+| 0.0658        | 4.0   | 1500 | 1.6110          | 0.7385 | 0.7385 | 0.7385    |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3