update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert-base-uncased-finetuned-tickets
+  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. -->
+
+# distilbert-base-uncased-finetuned-tickets
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5606
+- Accuracy: 0.843
+- F1: 0.8279
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 2.274         | 1.0   | 110  | 1.4271          | 0.667    | 0.6097 |
+| 1.16          | 2.0   | 220  | 0.8743          | 0.791    | 0.7584 |
+| 0.7726        | 3.0   | 330  | 0.6892          | 0.815    | 0.7922 |
+| 0.6116        | 4.0   | 440  | 0.6138          | 0.831    | 0.8151 |
+| 0.5204        | 5.0   | 550  | 0.5680          | 0.842    | 0.8261 |
+| 0.4756        | 6.0   | 660  | 0.5606          | 0.843    | 0.8279 |
+
+
+### Framework versions
+
+- Transformers 4.27.1
+- Pytorch 2.0.0
+- Datasets 2.10.1
+- Tokenizers 0.13.2