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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: squad_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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# squad_distilbert |
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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: 2.5411 |
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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: 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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| 1.2592 | 1.0 | 2738 | 1.1407 | |
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| 0.9254 | 2.0 | 5476 | 1.1297 | |
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| 0.7153 | 3.0 | 8214 | 1.1560 | |
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| 0.5814 | 4.0 | 10952 | 1.2990 | |
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| 0.4528 | 5.0 | 13690 | 1.4225 | |
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| 0.3592 | 6.0 | 16428 | 1.5411 | |
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| 0.2932 | 7.0 | 19166 | 1.6802 | |
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| 0.2383 | 8.0 | 21904 | 1.7984 | |
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| 0.1898 | 9.0 | 24642 | 1.9599 | |
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| 0.1553 | 10.0 | 27380 | 2.1424 | |
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| 0.1297 | 11.0 | 30118 | 2.2808 | |
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| 0.1074 | 12.0 | 32856 | 2.3198 | |
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| 0.0922 | 13.0 | 35594 | 2.3774 | |
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| 0.08 | 14.0 | 38332 | 2.5194 | |
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| 0.0678 | 15.0 | 41070 | 2.5411 | |
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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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