metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: morbius
results: []
morbius
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: 2.3439
- Rouge1: 4.9561
- Rouge2: 2.0389
- Rougel: 4.9817
- Rougelsum: 4.9536
- Gen Len: 10.0570
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 |
---|---|---|---|---|---|---|---|---|
2.3304 | 1.0 | 2899 | 2.4759 | 2.9156 | 1.5043 | 2.9383 | 2.9303 | 12.9185 |
2.419 | 2.0 | 5798 | 2.3956 | 4.0661 | 1.9977 | 4.0903 | 4.0836 | 11.2817 |
2.2878 | 3.0 | 8697 | 2.3618 | 4.5727 | 1.8909 | 4.6019 | 4.5688 | 9.9740 |
2.2338 | 4.0 | 11596 | 2.3463 | 4.556 | 2.0507 | 4.5898 | 4.5707 | 10.2449 |
2.2188 | 5.0 | 14495 | 2.3439 | 4.9561 | 2.0389 | 4.9817 | 4.9536 | 10.0570 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3