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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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model-index: |
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- name: flan-t5-large-samsum |
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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-samsum |
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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: 0.9492 |
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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: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.2035 | 1.0 | 4738 | 1.0323 | |
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| 1.1186 | 2.0 | 9476 | 1.0119 | |
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| 1.0904 | 3.0 | 14214 | 0.9983 | |
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| 1.0591 | 4.0 | 18952 | 0.9858 | |
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| 1.0319 | 5.0 | 23690 | 0.9711 | |
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| 0.9659 | 6.0 | 28428 | 0.9620 | |
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| 0.9388 | 7.0 | 33166 | 0.9547 | |
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| 0.9148 | 8.0 | 37904 | 0.9510 | |
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| 0.8681 | 9.0 | 42642 | 0.9486 | |
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| 0.8502 | 10.0 | 47380 | 0.9492 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
