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README.md
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---
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license: apache-2.0
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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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model-index:
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- name: fin_sentiment
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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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# fin_sentiment
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0101
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- Accuracy: 0.8624
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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: 8
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- eval_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.527 | 1.0 | 515 | 0.4239 | 0.8514 |
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| 0.3018 | 2.0 | 1030 | 0.4353 | 0.8707 |
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| 0.1509 | 3.0 | 1545 | 0.7413 | 0.8446 |
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| 0.1069 | 4.0 | 2060 | 0.7788 | 0.8611 |
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| 0.0585 | 5.0 | 2575 | 0.8656 | 0.8624 |
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| 0.0397 | 6.0 | 3090 | 0.8394 | 0.8666 |
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| 0.0233 | 7.0 | 3605 | 0.9554 | 0.8624 |
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| 0.0171 | 8.0 | 4120 | 0.9459 | 0.8583 |
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| 0.0128 | 9.0 | 4635 | 0.9991 | 0.8597 |
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| 0.0033 | 10.0 | 5150 | 1.0101 | 0.8624 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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