| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google/flan-t5-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: automation-flanT5-summarize |
| | 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. --> |
| |
|
| | # automation-flanT5-summarize |
| |
|
| | This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3180 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 30 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 4.6737 | 1.0 | 100 | 4.2136 | |
| | | 2.2672 | 2.0 | 200 | 1.2099 | |
| | | 0.7158 | 3.0 | 300 | 0.5136 | |
| | | 0.3763 | 4.0 | 400 | 0.4204 | |
| | | 0.34 | 5.0 | 500 | 0.3903 | |
| | | 0.444 | 6.0 | 600 | 0.3730 | |
| | | 0.3021 | 7.0 | 700 | 0.3643 | |
| | | 0.2925 | 8.0 | 800 | 0.3539 | |
| | | 0.2655 | 9.0 | 900 | 0.3486 | |
| | | 0.2291 | 10.0 | 1000 | 0.3434 | |
| | | 0.2638 | 11.0 | 1100 | 0.3420 | |
| | | 0.3179 | 12.0 | 1200 | 0.3342 | |
| | | 0.2649 | 13.0 | 1300 | 0.3322 | |
| | | 0.2329 | 14.0 | 1400 | 0.3298 | |
| | | 0.205 | 15.0 | 1500 | 0.3275 | |
| | | 0.238 | 16.0 | 1600 | 0.3248 | |
| | | 0.324 | 17.0 | 1700 | 0.3231 | |
| | | 0.2491 | 18.0 | 1800 | 0.3214 | |
| | | 0.2297 | 19.0 | 1900 | 0.3202 | |
| | | 0.2335 | 20.0 | 2000 | 0.3185 | |
| | | 0.1737 | 21.0 | 2100 | 0.3190 | |
| | | 0.1962 | 22.0 | 2200 | 0.3180 | |
| | | 0.2303 | 23.0 | 2300 | 0.3185 | |
| | | 0.2434 | 24.0 | 2400 | 0.3180 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 3.0.0 |
| | - Tokenizers 0.19.1 |
| |
|
