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test
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4073
- Rouge1: 47.697
- Rouge2: 22.4202
- Rougel: 39.7706
- Rougelsum: 43.9975
- Gen Len: 17.4
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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.96 | 15 | 1.4247 | 47.3573 | 22.6495 | 39.4919 | 43.7222 | 17.29 |
| No log | 1.98 | 31 | 1.4103 | 47.6181 | 22.9152 | 39.9759 | 43.9923 | 17.52 |
| No log | 2.94 | 46 | 1.4079 | 46.9127 | 22.0069 | 39.1927 | 43.296 | 17.44 |
| No log | 3.97 | 62 | 1.4074 | 47.7178 | 22.552 | 39.8294 | 44.0775 | 17.42 |
| No log | 4.8 | 75 | 1.4073 | 47.697 | 22.4202 | 39.7706 | 43.9975 | 17.4 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
