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: nan
- Rouge1: 2.1823
- Rouge2: 0.226
- Rougel: 2.1188
- Rougelsum: 2.1216
- Gen Len: 8.9152
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 7626 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 2.0 | 15252 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 3.0 | 22878 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 4.0 | 30504 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 5.0 | 38130 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3