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--- |
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license: apache-2.0 |
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base_model: facebook/bart-base |
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tags: |
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- generated_from_trainer |
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datasets: |
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- learn3r/squad_with_test |
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model-index: |
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- name: bart_base_qgen |
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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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# bart_base_qgen |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the learn3r/squad_with_test dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4211 |
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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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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 512 |
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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: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.7237 | 1.0 | 171 | 1.5064 | |
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| 1.5995 | 2.0 | 342 | 1.4698 | |
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| 1.5289 | 3.0 | 513 | 1.4482 | |
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| 1.5082 | 4.0 | 684 | 1.4363 | |
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| 1.4782 | 5.0 | 855 | 1.4286 | |
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| 1.4084 | 6.0 | 1026 | 1.4265 | |
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| 1.4229 | 6.99 | 1197 | 1.4239 | |
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| 1.4 | 8.0 | 1369 | 1.4211 | |
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| 1.3865 | 9.0 | 1540 | 1.4215 | |
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| 1.3871 | 9.99 | 1710 | 1.4219 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.8.0 |
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- Tokenizers 0.12.1 |
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