|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: google/flan-t5-small |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- rouge |
|
|
model-index: |
|
|
- name: maximo-t5-normalize |
|
|
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. --> |
|
|
|
|
|
# maximo-t5-normalize |
|
|
|
|
|
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 1.9638 |
|
|
- Rouge1: 38.9057 |
|
|
- Rouge2: 19.0476 |
|
|
- Rougel: 39.5803 |
|
|
- Rougelsum: 39.467 |
|
|
- Gen Len: 15.2857 |
|
|
|
|
|
## 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: 0.0005 |
|
|
- 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: 10 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
|
|
| No log | 1.0 | 8 | 2.2357 | 17.3817 | 0.0 | 17.3817 | 17.8983 | 10.5714 | |
|
|
| No log | 2.0 | 16 | 2.1585 | 23.8431 | 14.2857 | 23.5882 | 24.101 | 13.2857 | |
|
|
| No log | 3.0 | 24 | 1.9795 | 33.3557 | 22.3971 | 34.1438 | 33.9448 | 11.7143 | |
|
|
| No log | 4.0 | 32 | 1.8823 | 29.3267 | 15.2381 | 28.5832 | 30.4088 | 13.5714 | |
|
|
| No log | 5.0 | 40 | 1.8984 | 40.4849 | 14.2857 | 40.3257 | 40.1475 | 15.8571 | |
|
|
| No log | 6.0 | 48 | 1.9456 | 32.562 | 19.0476 | 33.3501 | 33.7775 | 16.1429 | |
|
|
| No log | 7.0 | 56 | 1.9990 | 35.1207 | 19.0476 | 35.8838 | 36.2473 | 17.0 | |
|
|
| No log | 8.0 | 64 | 1.9615 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 | |
|
|
| No log | 9.0 | 72 | 1.9613 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 | |
|
|
| No log | 10.0 | 80 | 1.9638 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.35.2 |
|
|
- Pytorch 2.1.0+cu121 |
|
|
- Datasets 2.15.0 |
|
|
- Tokenizers 0.15.0 |
|
|
|
