End of training
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README.md
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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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- Loss: 0.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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- total_train_batch_size: 32
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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:
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### Training results
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.
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- Tokenizers 0.19.1
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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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- Loss: 0.5934
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- Accuracy: 0.8235
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- F1: 0.8236
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## Model description
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- total_train_batch_size: 32
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| No log | 0.4464 | 50 | 0.5398 | 0.7797 | 0.7809 |
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| No log | 0.8929 | 100 | 0.4638 | 0.8203 | 0.8221 |
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| No log | 1.3393 | 150 | 0.4749 | 0.8183 | 0.8196 |
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| No log | 1.7857 | 200 | 0.4944 | 0.8144 | 0.8150 |
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| No log | 2.2321 | 250 | 0.5050 | 0.8157 | 0.8158 |
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| No log | 2.6786 | 300 | 0.5470 | 0.8085 | 0.8079 |
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| No log | 3.125 | 350 | 0.5299 | 0.8196 | 0.8200 |
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| No log | 3.5714 | 400 | 0.5651 | 0.8150 | 0.8146 |
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| No log | 4.0179 | 450 | 0.5684 | 0.8288 | 0.8294 |
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| 0.3419 | 4.4643 | 500 | 0.5934 | 0.8235 | 0.8236 |
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| 0.3419 | 4.9107 | 550 | 0.5976 | 0.8203 | 0.8208 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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model.safetensors
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