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update model card README.md
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README.md
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---
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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: finbert-finetuned-FG-SINGLE_SENTENCE-NEWS
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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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# finbert-finetuned-FG-SINGLE_SENTENCE-NEWS
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This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.0147
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- Accuracy: 0.5361
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- F1: 0.5346
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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: 6e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 20
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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 | 1.0 | 198 | 1.0442 | 0.4616 | 0.4093 |
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| No log | 2.0 | 396 | 1.0938 | 0.4875 | 0.4455 |
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| 0.9778 | 3.0 | 594 | 1.1884 | 0.5247 | 0.5161 |
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| 0.9778 | 4.0 | 792 | 1.3903 | 0.5338 | 0.5290 |
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| 0.9778 | 5.0 | 990 | 1.5180 | 0.5452 | 0.5430 |
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| 0.3904 | 6.0 | 1188 | 1.8556 | 0.5270 | 0.5273 |
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| 0.3904 | 7.0 | 1386 | 2.1461 | 0.5376 | 0.5386 |
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| 0.142 | 8.0 | 1584 | 2.4582 | 0.5529 | 0.5489 |
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| 0.142 | 9.0 | 1782 | 2.6054 | 0.5255 | 0.5247 |
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| 0.142 | 10.0 | 1980 | 2.7953 | 0.5544 | 0.5483 |
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| 0.0797 | 11.0 | 2178 | 3.0892 | 0.5308 | 0.5315 |
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| 0.0797 | 12.0 | 2376 | 3.3025 | 0.5384 | 0.5315 |
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| 0.0415 | 13.0 | 2574 | 3.3124 | 0.5308 | 0.5249 |
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| 0.0415 | 14.0 | 2772 | 3.6247 | 0.5331 | 0.5322 |
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| 0.0415 | 15.0 | 2970 | 3.6592 | 0.5224 | 0.5252 |
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| 0.024 | 16.0 | 3168 | 3.8275 | 0.5308 | 0.5290 |
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| 0.024 | 17.0 | 3366 | 3.8818 | 0.5308 | 0.5295 |
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| 0.009 | 18.0 | 3564 | 3.9417 | 0.5407 | 0.5375 |
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| 0.009 | 19.0 | 3762 | 4.0033 | 0.5361 | 0.5339 |
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| 0.009 | 20.0 | 3960 | 4.0147 | 0.5361 | 0.5346 |
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### Framework versions
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- Transformers 4.16.2
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- Pytorch 1.9.1
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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