flan-t5-base-merged
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: 1.9282
- Rouge1: 0.4675
- Rouge2: 0.1579
- Rougel: 0.4313
- Bertscore: 0.8652
- Readability: 13.1666
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: 0.0001
- 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: cosine
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Bertscore | Readability |
|---|---|---|---|---|---|---|---|---|
| 2.1647 | 1.0 | 3640 | 2.0145 | 0.4602 | 0.1545 | 0.4236 | 0.8626 | 13.5465 |
| 2.0892 | 2.0 | 7280 | 1.9591 | 0.4620 | 0.1549 | 0.4259 | 0.8636 | 13.3182 |
| 2.0151 | 3.0 | 10920 | 1.9376 | 0.4663 | 0.1571 | 0.4301 | 0.8648 | 13.2234 |
| 1.9793 | 4.0 | 14560 | 1.9282 | 0.4699 | 0.1599 | 0.4337 | 0.8656 | 13.1966 |
| 1.9679 | 5.0 | 18200 | 1.9269 | 0.4683 | 0.1583 | 0.4313 | 0.8653 | 13.2824 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.2.1
- Datasets 2.19.0
- Tokenizers 0.15.2
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Base model
google/flan-t5-base