update model card README.md

README.md

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+---
+noteId: "dcddc7a0091511ef947f01a7904e0672"
+tags:
+  - "generated_from_trainer"
+license: "apache-2.0"
+metrics:
+  - "f1"
+model-index:
+  - name: "distilbert_alcohol_classifier"
+    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_alcohol_classifier
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0028
+- F1: 0.9985
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0035        | 1.0   | 760  | 0.0132          | 0.9964 |
+| 0.0071        | 2.0   | 1520 | 0.0050          | 0.9985 |
+| 0.0025        | 3.0   | 2280 | 0.0051          | 0.9985 |
+| 0.0001        | 4.0   | 3040 | 0.0028          | 0.9985 |
+| 0.0009        | 5.0   | 3800 | 0.0028          | 0.9985 |
+
+
+### Framework versions
+
+- Transformers 4.29.2
+- Pytorch 1.13.1+cu116
+- Datasets 2.19.0
+- Tokenizers 0.13.3