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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased-distilled-squad |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-cased-distilled-squad-231123 |
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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-base-cased-distilled-squad-231123 |
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This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5287 |
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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: 8 |
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- eval_batch_size: 8 |
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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 | 116 | 1.9383 | |
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| No log | 2.0 | 232 | 1.9901 | |
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| No log | 3.0 | 348 | 2.0780 | |
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| No log | 4.0 | 464 | 2.2501 | |
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| 1.4804 | 5.0 | 580 | 2.4190 | |
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| 1.4804 | 6.0 | 696 | 2.5925 | |
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| 1.4804 | 7.0 | 812 | 2.7649 | |
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| 1.4804 | 8.0 | 928 | 2.9029 | |
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| 0.5119 | 9.0 | 1044 | 3.0296 | |
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| 0.5119 | 10.0 | 1160 | 3.1669 | |
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| 0.5119 | 11.0 | 1276 | 3.3412 | |
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| 0.5119 | 12.0 | 1392 | 3.3165 | |
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| 0.2287 | 13.0 | 1508 | 3.4167 | |
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| 0.2287 | 14.0 | 1624 | 3.5039 | |
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| 0.2287 | 15.0 | 1740 | 3.5287 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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