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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: google/flan-t5-large |
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metrics: |
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- rouge |
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model-index: |
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- name: flan-t5-large-peft-combinedhub |
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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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# flan-t5-large-peft-combinedhub |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co./google/flan-t5-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7588 |
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- Rouge1: 43.5001 |
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- Rouge2: 17.8611 |
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- Rougel: 31.5148 |
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- Rougelsum: 40.2359 |
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- Gen Len: 98.7718 |
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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: 5e-05 |
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- train_batch_size: 6 |
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- eval_batch_size: 6 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:| |
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| 1.9097 | 1.0 | 2812 | 1.7698 | 43.3373 | 17.6766 | 31.4769 | 40.0561 | 97.4492 | |
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| 1.8901 | 2.0 | 5624 | 1.7603 | 43.4367 | 17.8114 | 31.5721 | 40.1962 | 100.2230 | |
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| 1.8854 | 3.0 | 8436 | 1.7588 | 43.5001 | 17.8611 | 31.5148 | 40.2359 | 98.7718 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
