End of training
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README.md
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# sentiment_pc
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This model is a fine-tuned version of [ahmedrachid/FinancialBERT-Sentiment-Analysis](https://huggingface.co/ahmedrachid/FinancialBERT-Sentiment-Analysis) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.1792
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- eval_accuracy: 0.9608
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- eval_f1: 0.9401
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- eval_runtime: 244.5518
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- eval_samples_per_second: 3.966
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- eval_steps_per_second: 0.249
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- step: 0
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Framework versions
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- Transformers 4.41.1
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# sentiment_pc
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This model is a fine-tuned version of [ahmedrachid/FinancialBERT-Sentiment-Analysis](https://huggingface.co/ahmedrachid/FinancialBERT-Sentiment-Analysis) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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### Framework versions
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- Transformers 4.41.1
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model.safetensors
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