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--- |
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license: cc-by-nc-4.0 |
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base_model: MBZUAI/LaMini-Flan-T5-248M |
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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: Lamini-Prompt-Enchance-Long |
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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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# Usage |
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```python |
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from transformers import pipeline |
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# load model and tokenizer from huggingface hub with pipeline |
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enhancer = pipeline("summarization", model="mobenta/M_Prompter", device=0) |
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prompt = "A blue-tinted bedroom scene, surreal and serene, with a mysterious reflected interior." |
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prefix = "Enhance the description: " |
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# enhance prompt |
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res = enhancer(prefix + prompt) |
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print(res[0]['summary_text']) |
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``` |
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# Lamini-Prompt-Enchance-Long |
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This model is a fine-tuned version of [MBZUAI/LaMini-Flan-T5-248M](https://huggingface.co/MBZUAI/LaMini-Flan-T5-248M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1624 |
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- Rouge1: 20.2443 |
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- Rouge2: 9.3642 |
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- Rougel: 17.2484 |
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- Rougelsum: 19.0703 |
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- Gen Len: 19.0 |
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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: 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: 5 |
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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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| 2.4435 | 1.0 | 2014 | 2.2723 | 20.0108 | 9.2736 | 17.0569 | 18.8171 | 19.0 | |
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| 2.341 | 2.0 | 4028 | 2.2120 | 20.4422 | 9.4473 | 17.4347 | 19.2234 | 19.0 | |
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| 2.2948 | 3.0 | 6042 | 2.1820 | 20.5645 | 9.5426 | 17.5419 | 19.3714 | 19.0 | |
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| 2.2598 | 4.0 | 8056 | 2.1668 | 20.2354 | 9.3639 | 17.2379 | 19.0625 | 19.0 | |
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| 2.2431 | 5.0 | 10070 | 2.1624 | 20.2443 | 9.3642 | 17.2484 | 19.0703 | 19.0 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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