Update README.md

README.md

@@ -1,3 +1,68 @@
 ---
 license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_financial_phrasebank
+  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. -->
+
+# bert_financial_phrasebank
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2586
+- Accuracy: 0.9604
+
+## 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: 5e-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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 114  | 0.5293          | 0.8230   |
+| No log        | 2.0   | 228  | 0.0804          | 0.9779   |
+| No log        | 3.0   | 342  | 0.0367          | 0.9867   |
+| No log        | 4.0   | 456  | 0.1544          | 0.9646   |
+| 0.3241        | 5.0   | 570  | 0.0497          | 0.9912   |
+| 0.3241        | 6.0   | 684  | 0.0520          | 0.9912   |
+| 0.3241        | 7.0   | 798  | 0.0318          | 0.9912   |
+| 0.3241        | 8.0   | 912  | 0.0628          | 0.9912   |
+| 0.0218        | 9.0   | 1026 | 0.0777          | 0.9867   |
+| 0.0218        | 10.0  | 1140 | 0.0866          | 0.9867   |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 2.1.0+cu118
+- Tokenizers 0.13.3