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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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- gem |
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model_index: |
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- name: BART-large-commongen |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: gem |
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type: gem |
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args: common_gen |
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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-large-commongen |
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This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the gem dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1409 |
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- Spice: 0.4009 |
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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: 0.0001 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- training_steps: 6317 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Spice | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 10.1086 | 0.05 | 100 | 4.9804 | 0.3736 | |
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| 4.4168 | 0.09 | 200 | 2.4402 | 0.4079 | |
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| 1.8158 | 0.14 | 300 | 1.1096 | 0.4258 | |
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| 1.1723 | 0.19 | 400 | 1.0845 | 0.4086 | |
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| 1.0894 | 0.24 | 500 | 1.0727 | 0.423 | |
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| 1.0949 | 0.28 | 600 | 1.0889 | 0.4224 | |
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| 1.0773 | 0.33 | 700 | 1.0977 | 0.4201 | |
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| 1.0708 | 0.38 | 800 | 1.1157 | 0.4213 | |
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| 1.0663 | 0.43 | 900 | 1.1798 | 0.421 | |
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| 1.0985 | 0.47 | 1000 | 1.1611 | 0.4025 | |
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| 1.0561 | 0.52 | 1100 | 1.1048 | 0.421 | |
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| 1.0594 | 0.57 | 1200 | 1.2044 | 0.3626 | |
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| 1.0689 | 0.62 | 1300 | 1.1409 | 0.4009 | |
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### Framework versions |
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- Transformers 4.9.2 |
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- Pytorch 1.9.0+cu102 |
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- Datasets 1.11.1.dev0 |
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- Tokenizers 0.10.3 |
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