| |
|
| | --- |
| | license: cc-by-nc-4.0 |
| | base_model: MBZUAI/LaMini-Flan-T5-248M |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: Lamini-Prompt-Enchance-Long |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Usage |
| |
|
| | ```python |
| | from transformers import pipeline |
| | |
| | # load model and tokenizer from huggingface hub with pipeline |
| | enhancer = pipeline("summarization", model="mobenta/M_Prompter", device=0) |
| | |
| | prompt = "A blue-tinted bedroom scene, surreal and serene, with a mysterious reflected interior." |
| | prefix = "Enhance the description: " |
| | # enhance prompt |
| | res = enhancer(prefix + prompt) |
| | |
| | print(res[0]['summary_text']) |
| | |
| | ``` |
| |
|
| | # Lamini-Prompt-Enchance-Long |
| |
|
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.1624 |
| | - Rouge1: 20.2443 |
| | - Rouge2: 9.3642 |
| | - Rougel: 17.2484 |
| | - Rougelsum: 19.0703 |
| | - Gen Len: 19.0 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | | 2.4435 | 1.0 | 2014 | 2.2723 | 20.0108 | 9.2736 | 17.0569 | 18.8171 | 19.0 | |
| | | 2.341 | 2.0 | 4028 | 2.2120 | 20.4422 | 9.4473 | 17.4347 | 19.2234 | 19.0 | |
| | | 2.2948 | 3.0 | 6042 | 2.1820 | 20.5645 | 9.5426 | 17.5419 | 19.3714 | 19.0 | |
| | | 2.2598 | 4.0 | 8056 | 2.1668 | 20.2354 | 9.3639 | 17.2379 | 19.0625 | 19.0 | |
| | | 2.2431 | 5.0 | 10070 | 2.1624 | 20.2443 | 9.3642 | 17.2484 | 19.0703 | 19.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.42.3 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
