metadata
base_model: ybelkada/flan-t5-xl-sharded-bf16
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flanT5-xl-3.1
results: []
flanT5-xl-3.1
This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6821
- Rouge1: 32.9118
- Rouge2: 24.7369
- Rougel: 29.6106
- Rougelsum: 29.8854
- Gen Len: 10.9379
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: 3e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 362 | 4.1919 | 14.9919 | 9.1411 | 12.8299 | 12.9602 | 15.8354 |
| 19.4803 | 2.0 | 724 | 0.8027 | 31.2365 | 23.4015 | 27.8979 | 28.0521 | 10.8913 |
| 0.87 | 3.0 | 1086 | 0.7601 | 32.7524 | 24.7831 | 29.4005 | 29.6329 | 10.4814 |
| 0.87 | 4.0 | 1448 | 0.7359 | 32.4199 | 24.3103 | 29.045 | 29.3107 | 10.7391 |
| 0.7969 | 5.0 | 1810 | 0.7159 | 33.081 | 24.9552 | 29.7936 | 30.0534 | 10.6770 |
| 0.7607 | 6.0 | 2172 | 0.7029 | 32.6081 | 24.4439 | 29.3121 | 29.5849 | 10.8820 |
| 0.7482 | 7.0 | 2534 | 0.6928 | 32.7673 | 24.6101 | 29.5065 | 29.7823 | 10.8820 |
| 0.7482 | 8.0 | 2896 | 0.6865 | 32.648 | 24.3905 | 29.4374 | 29.7019 | 11.0 |
| 0.729 | 9.0 | 3258 | 0.6831 | 32.7058 | 24.4816 | 29.4377 | 29.6886 | 11.0031 |
| 0.7218 | 10.0 | 3620 | 0.6821 | 32.9118 | 24.7369 | 29.6106 | 29.8854 | 10.9379 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0