| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/flan-t5-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: job_parser |
| 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. --> |
|
|
| # job_parser |
| |
| This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1333 |
| - Rouge1: 3.0012 |
| - Rouge2: 2.273 |
| - Rougel: 3.0026 |
| - Rougelsum: 3.0045 |
| - Gen Len: 20.0 |
| |
| ## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | No log | 1.0 | 50 | 0.2017 | 3.0012 | 2.273 | 3.0026 | 3.0045 | 20.0 | |
| | No log | 2.0 | 100 | 0.1554 | 3.0012 | 2.273 | 3.0026 | 3.0045 | 20.0 | |
| | No log | 3.0 | 150 | 0.1418 | 3.0012 | 2.273 | 3.0026 | 3.0045 | 20.0 | |
| | No log | 4.0 | 200 | 0.1359 | 3.0012 | 2.273 | 3.0026 | 3.0045 | 20.0 | |
| | No log | 5.0 | 250 | 0.1333 | 3.0012 | 2.273 | 3.0026 | 3.0045 | 20.0 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.50.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 2.20.0 |
| - Tokenizers 0.21.0 |
| |
