| | --- |
| | license: cc-by-sa-4.0 |
| | base_model: p1atdev/t5-base-xlsum-ja |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: Megagon_step3_p1atdev |
| | 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_p1atdev |
| |
|
| | 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: 1.2045 |
| | - Rouge1: 0.2598 |
| | - Rouge2: 0.1099 |
| | - Rougel: 0.2579 |
| | - Rougelsum: 0.2576 |
| | - Gen Len: 10.5676 |
| |
|
| | ## 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 | 2.2677 | 0.3223 | 0.1811 | 0.3225 | 0.3203 | 11.4505 | |
| | | No log | 2.0 | 158 | 1.4330 | 0.3084 | 0.1628 | 0.3087 | 0.3067 | 11.1802 | |
| | | No log | 3.0 | 237 | 1.2345 | 0.2672 | 0.1156 | 0.2652 | 0.2644 | 10.6081 | |
| | | No log | 4.0 | 316 | 1.2045 | 0.2598 | 0.1099 | 0.2579 | 0.2576 | 10.5676 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.34.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.5 |
| | - Tokenizers 0.14.1 |
| |
|
