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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - financial_phrasebank
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+ metrics:
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+ - f1
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+ - accuracy
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+ model-index:
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+ - name: phrasebank-sentiment-analysis
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: financial_phrasebank
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+ type: financial_phrasebank
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+ config: sentences_50agree
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+ split: train
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+ args: sentences_50agree
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.8419033782047481
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8541953232462174
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # phrasebank-sentiment-analysis
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the financial_phrasebank dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5105
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+ - F1: 0.8419
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+ - Accuracy: 0.8542
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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+ | 0.6046 | 0.94 | 100 | 0.4107 | 0.8173 | 0.8370 |
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+ | 0.2873 | 1.89 | 200 | 0.4488 | 0.8266 | 0.8301 |
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+ | 0.1469 | 2.83 | 300 | 0.5130 | 0.8420 | 0.8501 |
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+ | 0.0762 | 3.77 | 400 | 0.5105 | 0.8419 | 0.8542 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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