|
Download README.md from aparajitha/bart-base-sci-ms-tr: direct link, hf CLI and curl.
- Browser
- Download file 1.57 kB
-
https://huggingface.co/aparajitha/bart-base-sci-ms-tr/resolve/main/README.md
- Command line
-
hf download hf://aparajitha/bart-base-sci-ms-tr/README.md
-
curl -L -o README.md https://huggingface.co/aparajitha/bart-base-sci-ms-tr/resolve/main/README.md
1.57 kB
| license: apache-2.0 | |
| base_model: aparajitha/bart-base-sci-tr | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: bart-base-sci-ms-tr | |
| 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. --> | |
| # bart-base-sci-ms-tr | |
| This model is a fine-tuned version of [aparajitha/bart-base-sci-tr](https://huggingface.co/aparajitha/bart-base-sci-tr) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.1887 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - 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 | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 2.4897 | 1.0 | 2184 | 2.2884 | | |
| | 2.2378 | 2.0 | 4368 | 2.2122 | | |
| | 2.0913 | 3.0 | 6552 | 2.1909 | | |
| | 2.0012 | 4.0 | 8736 | 2.1907 | | |
| | 1.8773 | 5.0 | 10920 | 2.1834 | | |
| | 1.8211 | 6.0 | 13104 | 2.1887 | | |
| ### Framework versions | |
| - Transformers 4.43.4 | |
| - Pytorch 1.13.1 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.19.1 | |