update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- financial_phrasebank
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert-large-uncased-financial-phrasebank-allagree2
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: financial_phrasebank
+      type: financial_phrasebank
+      config: sentences_allagree
+      split: train
+      args: sentences_allagree
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9911504424778761
+    - name: F1
+      type: f1
+      value: 0.9910704012566471
+---
+
+<!-- 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. -->
+
+# bert-large-uncased-financial-phrasebank-allagree2
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the financial_phrasebank dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0734
+- Accuracy: 0.9912
+- F1: 0.9911
+
+## 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: 8
+- eval_batch_size: 8
+- 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 | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.3209        | 1.0   | 227  | 0.1929          | 0.9558   | 0.9551 |
+| 0.0821        | 2.0   | 454  | 0.0994          | 0.9867   | 0.9867 |
+| 0.04          | 3.0   | 681  | 0.0685          | 0.9867   | 0.9866 |
+| 0.0098        | 4.0   | 908  | 0.0980          | 0.9867   | 0.9867 |
+| 0.0003        | 5.0   | 1135 | 0.0734          | 0.9912   | 0.9911 |
+
+
+### Framework versions
+
+- Transformers 4.21.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1