| | --- |
| | license: apache-2.0 |
| | base_model: google/flan-t5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: flan-search-terms |
| | 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. --> |
| |
|
| | # flan-search-terms |
| |
|
| | This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0077 |
| | - Rouge1: 5.2275 |
| | - Rouge2: 4.3657 |
| | - Rougel: 4.8365 |
| | - Rougelsum: 4.8414 |
| | - Gen Len: 8.819 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | 0.0301 | 1.0 | 1500 | 0.0188 | 6.3132 | 5.5233 | 5.9306 | 5.9285 | 4.9403 | |
| | | 0.0167 | 2.0 | 3000 | 0.0118 | 5.6248 | 4.8018 | 5.2386 | 5.238 | 7.2617 | |
| | | 0.0136 | 3.0 | 4500 | 0.0093 | 5.2543 | 4.4034 | 4.8643 | 4.8675 | 8.599 | |
| | | 0.0114 | 4.0 | 6000 | 0.0080 | 5.3013 | 4.448 | 4.9117 | 4.9183 | 8.5447 | |
| | | 0.0105 | 5.0 | 7500 | 0.0077 | 5.2275 | 4.3657 | 4.8365 | 4.8414 | 8.819 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.1 |
| | - Pytorch 2.1.0+cu118 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.14.1 |
| |
|
