metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-fleece2instructions-r1
results: []
flan-t5-base-fleece2instructions-r1
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0642
- Rouge1: 58.9516
- Rouge2: 41.8006
- Rougel: 56.8249
- Rougelsum: 56.9171
- Gen Len: 13.1493
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: 8e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1939 | 1.0 | 362 | 1.0822 | 58.1758 | 40.9388 | 56.1219 | 56.2464 | 13.2592 |
| 1.1667 | 2.0 | 724 | 1.0642 | 58.9516 | 41.8006 | 56.8249 | 56.9171 | 13.1493 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 2.0.0.dev20230212+cu118
- Datasets 2.9.0
- Tokenizers 0.13.2