Priyabrata018 commited on
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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: 0.8580053640049435
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8624484181568088
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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: 0.5417
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+ - F1: 0.8580
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+ - Accuracy: 0.8624
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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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+ | 0.6085 | 0.94 | 100 | 0.4151 | 0.8177 | 0.8411 |
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+ | 0.2959 | 1.89 | 200 | 0.3948 | 0.8349 | 0.8514 |
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+ | 0.161 | 2.83 | 300 | 0.4703 | 0.8402 | 0.8446 |
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+ | 0.0853 | 3.77 | 400 | 0.5417 | 0.8580 | 0.8624 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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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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