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--- |
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license: mit |
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base_model: li-jay-cs/gptj-supervised-summarize-checkpoint |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: gptj-supervised-summarize-checkpoint |
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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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# gptj-supervised-summarize-checkpoint |
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This model is a fine-tuned version of [li-jay-cs/gptj-supervised-summarize-checkpoint](https://huggingface.co/li-jay-cs/gptj-supervised-summarize-checkpoint) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8506 |
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- Rouge1: 0.5938 |
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- Rouge2: 0.1912 |
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- Rougel: 0.3937 |
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- Rougelsum: 0.5184 |
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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: 1e-05 |
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- train_batch_size: 50 |
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- eval_batch_size: 50 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 2 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 1.904 | 0.43 | 1000 | 1.8633 | 0.5912 | 0.1888 | 0.3913 | 0.5149 | |
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| 1.8931 | 0.86 | 2000 | 1.8584 | 0.5907 | 0.1890 | 0.3920 | 0.5153 | |
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| 1.8758 | 1.28 | 3000 | 1.8545 | 0.5929 | 0.1906 | 0.3929 | 0.5168 | |
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| 1.8699 | 1.71 | 4000 | 1.8506 | 0.5938 | 0.1912 | 0.3937 | 0.5184 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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