End of training
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README.md
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---
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license: apache-2.0
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base_model: mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: distilroberta-financial-sentiment-model-2500-samples-fine-tune
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results: []
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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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# distilroberta-financial-sentiment-model-2500-samples-fine-tune
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This model is a fine-tuned version of [mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis](https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8877
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- Accuracy: 0.852
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- F1: 0.852
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- Mse: 0.352
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- Mae: 0.216
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Jul29_04-08-45_e415112a0b85/events.out.tfevents.1722226134.e415112a0b85.2162.6
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runs/Jul29_04-08-45_e415112a0b85/events.out.tfevents.1722226518.e415112a0b85.2162.7
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