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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: distilbert-lolchamps |
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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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# distilbert-lolchamps |
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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: 1.5996 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7248 | 1.0 | 76 | 2.3018 | |
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| 2.2574 | 2.0 | 152 | 2.0571 | |
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| 2.0952 | 3.0 | 228 | 1.9373 | |
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| 1.9549 | 4.0 | 304 | 1.8384 | |
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| 1.8657 | 5.0 | 380 | 1.7585 | |
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| 1.8215 | 6.0 | 456 | 1.7498 | |
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| 1.7717 | 7.0 | 532 | 1.7060 | |
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| 1.7256 | 8.0 | 608 | 1.6828 | |
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| 1.6847 | 9.0 | 684 | 1.6005 | |
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| 1.6762 | 10.0 | 760 | 1.6352 | |
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| 1.6485 | 11.0 | 836 | 1.6055 | |
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| 1.6466 | 12.0 | 912 | 1.5956 | |
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| 1.6252 | 13.0 | 988 | 1.5756 | |
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| 1.6183 | 14.0 | 1064 | 1.5420 | |
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| 1.6347 | 15.0 | 1140 | 1.5996 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.15.2 |
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