DONEE

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- financial_phrasebank
+metrics:
+- f1
+model-index:
+- name: FIN_BERT_sentiment
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: financial_phrasebank
+      type: financial_phrasebank
+      config: sentences_66agree
+      split: train
+      args: sentences_66agree
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.8890693407692588
+---
+
+<!-- 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. -->
+
+# FIN_BERT_sentiment
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the financial_phrasebank dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4905
+- F1: 0.8891
+- Acc: 0.8886
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.5295        | 1.0   | 211  | 0.3757          | 0.8731 | 0.8720 |
+| 0.2174        | 2.0   | 422  | 0.3117          | 0.8911 | 0.8910 |
+| 0.1129        | 3.0   | 633  | 0.4066          | 0.8886 | 0.8874 |
+| 0.0459        | 4.0   | 844  | 0.4923          | 0.8896 | 0.8886 |
+| 0.0275        | 5.0   | 1055 | 0.4905          | 0.8891 | 0.8886 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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