| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| - hindi | |
| - summarization | |
| - seq2seq | |
| datasets: | |
| - Someman/hindi-summarization | |
| base_model: facebook/bart-base | |
| model-index: | |
| - name: bart-hindi | |
| 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-hindi | |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the [Someman/hindi-summarization](https://huggingface.co/datasets/Someman/hindi-summarization) dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.4985 | |
| ## 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: 5e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 16 | |
| - total_train_batch_size: 16 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 0.6568 | 0.14 | 500 | 0.6501 | | |
| | 0.682 | 0.29 | 1000 | 0.5757 | | |
| | 0.5331 | 0.43 | 1500 | 0.5530 | | |
| | 0.5612 | 0.58 | 2000 | 0.5311 | | |
| | 0.5685 | 0.72 | 2500 | 0.5043 | | |
| | 0.4993 | 0.87 | 3000 | 0.4985 | | |
| ### Framework versions | |
| - Transformers 4.29.2 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 |