update model card README.md

README.md

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+---
+base_model: readerbench/RoBERT-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: ro-sentiment-02
+  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. -->
+
+# ro-sentiment-02
+
+This model is a fine-tuned version of [readerbench/RoBERT-base](https://huggingface.co/readerbench/RoBERT-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4093
+- Accuracy: 0.8312
+- Precision: 0.8488
+- Recall: 0.8866
+- F1: 0.8673
+- F1 Weighted: 0.8298
+
+## 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: 6.3e-05
+- train_batch_size: 96
+- eval_batch_size: 192
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.25
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
+| 0.4289        | 1.0   | 1086 | 0.4168          | 0.8303   | 0.8868    | 0.8570 | 0.8717 | 0.8317      |
+| 0.3807        | 2.0   | 2172 | 0.3926          | 0.8424   | 0.8933    | 0.8680 | 0.8804 | 0.8434      |
+| 0.3306        | 3.0   | 3258 | 0.4093          | 0.8312   | 0.8488    | 0.8866 | 0.8673 | 0.8298      |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3