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-03
+  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-03
+
+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: 0.3923
+- Accuracy: 0.8307
+- Precision: 0.8366
+- Recall: 0.8959
+- F1: 0.8652
+- F1 Weighted: 0.8287
+
+## 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: 6e-05
+- train_batch_size: 64
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | F1 Weighted |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-----------:|
+| 0.4198        | 1.0   | 1629 | 0.3983          | 0.8377   | 0.8791    | 0.8721 | 0.8756 | 0.8380      |
+| 0.3861        | 2.0   | 3258 | 0.4312          | 0.8429   | 0.8963    | 0.8665 | 0.8812 | 0.8442      |
+| 0.3189        | 3.0   | 4887 | 0.3923          | 0.8307   | 0.8366    | 0.8959 | 0.8652 | 0.8287      |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3