metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
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: 0.0000
- Rouge1: 0.8708
- Rouge2: 0.8636
- Rougel: 0.8708
- Rougelsum: 0.8708
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: 0.001
- train_batch_size: 24
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
No log | 1.0 | 1 | 1.1463 | 0.2430 | 0.1714 | 0.2430 | 0.2430 |
No log | 2.0 | 2 | 0.4544 | 0.7028 | 0.6432 | 0.7028 | 0.7028 |
No log | 3.0 | 3 | 0.1078 | 0.8708 | 0.8413 | 0.8708 | 0.8708 |
No log | 4.0 | 4 | 0.0477 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 5.0 | 5 | 0.0856 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 6.0 | 6 | 0.0128 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 7.0 | 7 | 0.0088 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 8.0 | 8 | 0.0082 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 9.0 | 9 | 0.0019 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 10.0 | 10 | 0.0008 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 11.0 | 11 | 0.0005 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 12.0 | 12 | 0.0003 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 13.0 | 13 | 0.0002 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 14.0 | 14 | 0.0001 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 15.0 | 15 | 0.0001 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 16.0 | 16 | 0.0001 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 17.0 | 17 | 0.0000 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 18.0 | 18 | 0.0001 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 19.0 | 19 | 0.0001 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
No log | 20.0 | 20 | 0.0000 | 0.8708 | 0.8636 | 0.8708 | 0.8708 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1