| | --- |
| | license: cc-by-sa-4.0 |
| | base_model: p1atdev/t5-base-xlsum-ja |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: Megagon_step3 |
| | 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. --> |
| |
|
| | # Megagon_step3 |
| | |
| | This model is a fine-tuned version of [p1atdev/t5-base-xlsum-ja](https://huggingface.co/p1atdev/t5-base-xlsum-ja) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1857 |
| | - Rouge1: 0.2252 |
| | - Rouge2: 0.0901 |
| | - Rougel: 0.2243 |
| | - Rougelsum: 0.2239 |
| | - Gen Len: 10.8153 |
| | |
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | No log | 1.0 | 79 | 2.2342 | 0.2695 | 0.1327 | 0.2702 | 0.2686 | 11.036 | |
| | | No log | 2.0 | 158 | 1.3641 | 0.267 | 0.1222 | 0.2674 | 0.2634 | 10.9775 | |
| | | No log | 3.0 | 237 | 1.2064 | 0.2307 | 0.099 | 0.2297 | 0.229 | 10.9324 | |
| | | No log | 4.0 | 316 | 1.1857 | 0.2252 | 0.0901 | 0.2243 | 0.2239 | 10.8153 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.34.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| | |
