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flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8183
- Rouge1: 50.827
- Rouge2: 42.2129
- Rougel: 50.1859
- Rougelsum: 50.0929
- Gen Len: 17.1429
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: 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 | 1.0 | 8 | 2.0190 | 43.3655 | 31.8855 | 36.5569 | 36.419 | 17.4286 |
| No log | 2.0 | 16 | 1.9072 | 49.9208 | 41.8902 | 48.749 | 48.3927 | 18.0 |
| No log | 3.0 | 24 | 1.8506 | 50.827 | 42.2129 | 50.1859 | 50.0929 | 17.1429 |
| No log | 4.0 | 32 | 1.8289 | 50.827 | 42.2129 | 50.1859 | 50.0929 | 17.1429 |
| No log | 5.0 | 40 | 1.8183 | 50.827 | 42.2129 | 50.1859 | 50.0929 | 17.1429 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
