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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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- f1
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model-index:
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- name: distilroberta-finetuned-finclass
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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-finetuned-finclass
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4463
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- F1: 0.8835
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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: 64
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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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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.7309 | 1.0 | 72 | 0.3671 | 0.8441 |
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| 0.3757 | 2.0 | 144 | 0.3199 | 0.8709 |
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| 0.3054 | 3.0 | 216 | 0.3096 | 0.8678 |
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| 0.2229 | 4.0 | 288 | 0.3776 | 0.8390 |
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| 0.1744 | 5.0 | 360 | 0.3678 | 0.8723 |
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| 0.1436 | 6.0 | 432 | 0.3728 | 0.8758 |
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| 0.1044 | 7.0 | 504 | 0.4116 | 0.8744 |
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| 0.0931 | 8.0 | 576 | 0.4148 | 0.8761 |
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| 0.0683 | 9.0 | 648 | 0.4423 | 0.8837 |
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| 0.0611 | 10.0 | 720 | 0.4463 | 0.8835 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.18.0
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- Tokenizers 0.10.3
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