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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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base_model: distilbert-base-uncased |
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model-index: |
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- name: recipe-distilbert-s |
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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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# recipe-distilbert-s |
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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: 1.0321 |
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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: 256 |
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- eval_batch_size: 256 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.8594 | 1.0 | 844 | 1.4751 | |
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| 1.4763 | 2.0 | 1688 | 1.3282 | |
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| 1.3664 | 3.0 | 2532 | 1.2553 | |
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| 1.2975 | 4.0 | 3376 | 1.2093 | |
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| 1.2543 | 5.0 | 4220 | 1.1667 | |
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| 1.2189 | 6.0 | 5064 | 1.1472 | |
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| 1.1944 | 7.0 | 5908 | 1.1251 | |
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| 1.1737 | 8.0 | 6752 | 1.1018 | |
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| 1.1549 | 9.0 | 7596 | 1.0950 | |
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| 1.1387 | 10.0 | 8440 | 1.0796 | |
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| 1.1295 | 11.0 | 9284 | 1.0713 | |
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| 1.1166 | 12.0 | 10128 | 1.0639 | |
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| 1.1078 | 13.0 | 10972 | 1.0485 | |
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| 1.099 | 14.0 | 11816 | 1.0431 | |
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| 1.0951 | 15.0 | 12660 | 1.0425 | |
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| 1.0874 | 16.0 | 13504 | 1.0323 | |
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| 1.0828 | 17.0 | 14348 | 1.0368 | |
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| 1.0802 | 18.0 | 15192 | 1.0339 | |
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| 1.0798 | 19.0 | 16036 | 1.0247 | |
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| 1.0758 | 20.0 | 16880 | 1.0321 | |
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### Framework versions |
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- Transformers 4.19.0.dev0 |
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- Pytorch 1.11.0+cu102 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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