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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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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: crypto_sustainability_news_text_classifier-distilbert-base-uncased |
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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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# crypto_sustainability_news_text_classifier-distilbert-base-uncased |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0678 |
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- Accuracy: 1.0 |
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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: 1e-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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.0723 | 1.0 | 8 | 1.0659 | 0.2167 | |
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| 1.0079 | 2.0 | 16 | 0.9776 | 0.75 | |
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| 0.908 | 3.0 | 24 | 0.8537 | 0.9333 | |
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| 0.7741 | 4.0 | 32 | 0.7082 | 0.9667 | |
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| 0.6449 | 5.0 | 40 | 0.5749 | 0.9667 | |
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| 0.5218 | 6.0 | 48 | 0.4551 | 0.9667 | |
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| 0.4026 | 7.0 | 56 | 0.3505 | 1.0 | |
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| 0.3144 | 8.0 | 64 | 0.2714 | 1.0 | |
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| 0.2424 | 9.0 | 72 | 0.2163 | 1.0 | |
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| 0.1939 | 10.0 | 80 | 0.1709 | 1.0 | |
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| 0.1559 | 11.0 | 88 | 0.1384 | 1.0 | |
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| 0.1247 | 12.0 | 96 | 0.1169 | 1.0 | |
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| 0.1073 | 13.0 | 104 | 0.0992 | 1.0 | |
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| 0.094 | 14.0 | 112 | 0.0890 | 1.0 | |
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| 0.0823 | 15.0 | 120 | 0.0813 | 1.0 | |
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| 0.0759 | 16.0 | 128 | 0.0756 | 1.0 | |
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| 0.0708 | 17.0 | 136 | 0.0720 | 1.0 | |
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| 0.0684 | 18.0 | 144 | 0.0697 | 1.0 | |
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| 0.0668 | 19.0 | 152 | 0.0683 | 1.0 | |
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| 0.0634 | 20.0 | 160 | 0.0678 | 1.0 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.0 |
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