|
--- |
|
license: apache-2.0 |
|
base_model: google/flan-t5-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: morbius |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# morbius |
|
|
|
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co./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 |
|
|
