|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: google/flan-t5-base |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- rouge |
|
|
model-index: |
|
|
- name: flan-t5-base-alphaX |
|
|
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. --> |
|
|
|
|
|
# flan-t5-base-alphaX |
|
|
|
|
|
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: 2.0018 |
|
|
- Rouge1: 68.4722 |
|
|
- Rouge2: 61.0119 |
|
|
- Rougel: 68.4722 |
|
|
- Rougelsum: 68.4722 |
|
|
- Gen Len: 8.6667 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
|
| No log | 1.0 | 1 | 2.8280 | 16.5064 | 7.7922 | 16.5064 | 15.3846 | 9.6667 | |
|
|
| No log | 2.0 | 2 | 2.3357 | 62.2756 | 44.697 | 58.109 | 58.109 | 9.0 | |
|
|
| No log | 3.0 | 3 | 2.1559 | 70.609 | 61.9589 | 70.609 | 70.609 | 7.8333 | |
|
|
| No log | 4.0 | 4 | 2.0521 | 68.4722 | 61.0119 | 68.4722 | 68.4722 | 8.6667 | |
|
|
| No log | 5.0 | 5 | 2.0018 | 68.4722 | 61.0119 | 68.4722 | 68.4722 | 8.6667 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.33.3 |
|
|
- Pytorch 2.0.1+cpu |
|
|
- Datasets 2.14.5 |
|
|
- Tokenizers 0.13.3 |
|
|
|
