update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: roberta-base-neg-tags
+  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. -->
+
+# roberta-base-neg-tags
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0015
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.9997
+
+## 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: 5e-05
+- train_batch_size: 128
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 235  | 0.0021          | 0.0       | 0.0    | 0.0 | 0.9993   |
+| No log        | 2.0   | 470  | 0.0015          | 0.0       | 0.0    | 0.0 | 0.9997   |
+| 0.0073        | 3.0   | 705  | 0.0015          | 0.0       | 0.0    | 0.0 | 0.9997   |
+| 0.0073        | 4.0   | 940  | 0.0015          | 0.0       | 0.0    | 0.0 | 0.9997   |
+
+
+### Framework versions
+
+- Transformers 4.25.0.dev0
+- Pytorch 1.10.1
+- Datasets 2.6.1
+- Tokenizers 0.13.1