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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: da_distilbert |
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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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# da_distilbert |
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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: 1.6301 |
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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: 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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| No log | 1.0 | 130 | 2.0998 | |
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| No log | 2.0 | 260 | 1.9483 | |
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| No log | 3.0 | 390 | 1.8376 | |
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| 2.1352 | 4.0 | 520 | 1.8386 | |
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| 2.1352 | 5.0 | 650 | 1.7713 | |
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| 2.1352 | 6.0 | 780 | 1.7591 | |
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| 2.1352 | 7.0 | 910 | 1.7380 | |
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| 1.8059 | 8.0 | 1040 | 1.6942 | |
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| 1.8059 | 9.0 | 1170 | 1.6574 | |
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| 1.8059 | 10.0 | 1300 | 1.6882 | |
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| 1.8059 | 11.0 | 1430 | 1.6419 | |
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| 1.7023 | 12.0 | 1560 | 1.6442 | |
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| 1.7023 | 13.0 | 1690 | 1.6709 | |
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| 1.7023 | 14.0 | 1820 | 1.6300 | |
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| 1.7023 | 15.0 | 1950 | 1.6165 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.4.0.dev20240502 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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