1.66 kB
| --- | |
| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - squad | |
| model-index: | |
| - name: xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-6 | |
| results: [] | |
| --- | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # xtremedistil-l6-h256-uncased-TQUAD-finetuned_lr-2e-05_epochs-6 | |
| This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on the Turkish squad dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.8135 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 2e-05 | |
| - train_batch_size: 48 | |
| - eval_batch_size: 48 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 6 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | No log | 1.0 | 350 | 3.8389 | | |
| | 4.4474 | 2.0 | 700 | 3.3748 | | |
| | 3.512 | 3.0 | 1050 | 3.0657 | | |
| | 3.512 | 4.0 | 1400 | 2.9219 | | |
| | 3.1526 | 5.0 | 1750 | 2.8517 | | |
| | 2.9972 | 6.0 | 2100 | 2.8135 | | |
| ### Framework versions | |
| - Transformers 4.15.0 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.17.0 | |
| - Tokenizers 0.10.3 | |