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--- |
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license: apache-2.0 |
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base_model: soleimanian/financial-roberta-large-sentiment |
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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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- precision |
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- recall |
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model-index: |
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- name: RoBERTa_FPB_finetuned_v2 |
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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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# RoBERTa_FPB_finetuned_v2 |
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This model is a fine-tuned version of [soleimanian/financial-roberta-large-sentiment](https://huggingface.co/soleimanian/financial-roberta-large-sentiment) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5080 |
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- Accuracy: 0.8660 |
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- F1: 0.8658 |
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- Precision: 0.8663 |
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- Recall: 0.8660 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 64 |
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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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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.3263 | 1.0 | 218 | 0.3427 | 0.8711 | 0.8725 | 0.8797 | 0.8711 | |
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| 0.377 | 2.0 | 436 | 0.4305 | 0.8454 | 0.8458 | 0.8470 | 0.8454 | |
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| 0.2243 | 3.0 | 654 | 0.5149 | 0.8763 | 0.8756 | 0.8769 | 0.8763 | |
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| 0.1564 | 4.0 | 872 | 0.5080 | 0.8660 | 0.8658 | 0.8663 | 0.8660 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Tokenizers 0.19.1 |
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