update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- reviews_with_drift
+metrics:
+- accuracy
+- f1
+model-index:
+- name: distilbert_finetuned_reviews_with_drift
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: reviews_with_drift
+      type: reviews_with_drift
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.854780153287616
+    - name: F1
+      type: f1
+      value: 0.8547073010596418
+---
+
+<!-- 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_finetuned_reviews_with_drift
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the reviews_with_drift dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3822
+- Accuracy: 0.8548
+- F1: 0.8547
+
+## 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: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.4173        | 1.0   | 620  | 0.3519          | 0.8511   | 0.8511 |
+| 0.259         | 2.0   | 1240 | 0.3822          | 0.8548   | 0.8547 |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1