update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- precision
+- f1
+model-index:
+- name: model1
+  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. -->
+
+# model1
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0019
+- Recall: 0.9997
+- Precision: 0.9997
+- F1: 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Recall | Precision | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|
+| 0.0238        | 1.0   | 856  | 0.0024          | 0.9995 | 0.9995    | 0.9995 |
+| 0.0013        | 2.0   | 1712 | 0.0018          | 0.9997 | 0.9997    | 0.9997 |
+| 0.0006        | 3.0   | 2568 | 0.0019          | 0.9997 | 0.9997    | 0.9997 |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2