update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- imdb
+metrics:
+- accuracy
+- f1
+model-index:
+- name: finetuned-base_small_db
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: imdb
+      type: imdb
+      config: plain_text
+      split: train
+      args: plain_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.93512
+    - name: F1
+      type: f1
+      value: 0.9664723634709991
+---
+
+<!-- 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. -->
+
+# finetuned-base_small_db
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the imdb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2838
+- Accuracy: 0.9351
+- F1: 0.9665
+
+## 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: 3e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 200
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.2743        | 2.55  | 500  | 0.1548          | 0.9408   | 0.9695 |
+| 0.1227        | 5.1   | 1000 | 0.2545          | 0.9206   | 0.9586 |
+| 0.0569        | 7.65  | 1500 | 0.4467          | 0.8902   | 0.9419 |
+| 0.0316        | 10.2  | 2000 | 0.2838          | 0.9351   | 0.9665 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2