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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad |
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model-index: |
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- name: xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-6 |
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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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# xtremedistil-l6-h256-uncased-finetuned_lr-2e-05_epochs-6 |
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This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2578 |
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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: 48 |
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- eval_batch_size: 48 |
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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: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 2.3828 | 1.0 | 1845 | 1.7946 | |
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| 1.5827 | 2.0 | 3690 | 1.4123 | |
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| 1.404 | 3.0 | 5535 | 1.3142 | |
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| 1.346 | 4.0 | 7380 | 1.2819 | |
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| 1.2871 | 5.0 | 9225 | 1.2630 | |
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| 1.2538 | 6.0 | 11070 | 1.2578 | |
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### Framework versions |
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- Transformers 4.15.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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