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--- |
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license: apache-2.0 |
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base_model: 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: cdp-gls |
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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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# cdp-gls |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 3.0808 |
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- Accuracy: 0.4839 |
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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: 16 |
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- eval_batch_size: 16 |
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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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| 3.4949 | 1.0 | 10 | 3.4712 | 0.0645 | |
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| 3.4362 | 2.0 | 20 | 3.4293 | 0.1452 | |
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| 3.3557 | 3.0 | 30 | 3.3663 | 0.2581 | |
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| 3.2469 | 4.0 | 40 | 3.3081 | 0.3710 | |
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| 3.1742 | 5.0 | 50 | 3.2495 | 0.3871 | |
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| 3.0934 | 6.0 | 60 | 3.1932 | 0.4032 | |
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| 3.0142 | 7.0 | 70 | 3.1443 | 0.4516 | |
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| 2.9634 | 8.0 | 80 | 3.1101 | 0.4516 | |
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| 2.9353 | 9.0 | 90 | 3.0889 | 0.4839 | |
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| 2.9034 | 10.0 | 100 | 3.0808 | 0.4839 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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