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Megagon_step3
This model is a fine-tuned version of 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
