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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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model-index: |
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- name: results |
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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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# results |
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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: 0.6801 |
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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: 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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5048 | 1.0 | 208 | 0.4436 | |
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| 0.3539 | 2.0 | 416 | 0.5064 | |
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| 0.2982 | 3.0 | 624 | 0.4879 | |
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| 0.2457 | 4.0 | 832 | 0.4303 | |
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| 0.1879 | 5.0 | 1040 | 0.5073 | |
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| 0.1542 | 6.0 | 1248 | 0.5062 | |
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| 0.1273 | 7.0 | 1456 | 0.6459 | |
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| 0.1017 | 8.0 | 1664 | 0.7306 | |
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| 0.0919 | 9.0 | 1872 | 0.6311 | |
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| 0.0821 | 10.0 | 2080 | 0.6049 | |
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| 0.0752 | 11.0 | 2288 | 0.8128 | |
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| 0.0629 | 12.0 | 2496 | 0.6608 | |
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| 0.0609 | 13.0 | 2704 | 0.7059 | |
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| 0.0555 | 14.0 | 2912 | 0.6801 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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