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flan-t5-small
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1038
- Rouge1: 68.104
- Rouge2: 62.8731
- Rougel: 64.5026
- Rougelsum: 64.9706
- Gen Len: 18.2857
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 | 2.2508 | 50.6686 | 41.7234 | 40.6222 | 39.9018 | 14.5714 |
| No log | 2.0 | 16 | 2.1618 | 67.043 | 61.7975 | 59.6406 | 59.8096 | 18.0 |
| No log | 3.0 | 24 | 2.1275 | 68.4011 | 63.5573 | 65.3917 | 65.8837 | 18.2857 |
| No log | 4.0 | 32 | 2.1100 | 67.547 | 62.8731 | 64.5026 | 64.9706 | 18.2857 |
| No log | 5.0 | 40 | 2.1038 | 68.104 | 62.8731 | 64.5026 | 64.9706 | 18.2857 |
Framework versions
- Transformers 4.33.1
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.13.3
