|
--- |
|
license: apache-2.0 |
|
tags: |
|
- simplification |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
- sari |
|
model-index: |
|
- name: flan-t5-large-clara-med |
|
results: [] |
|
datasets: |
|
- lcampillos/CLARA-MeD |
|
language: |
|
- es |
|
widget: |
|
- text: "Disección radical de ganglios linfáticos." |
|
--- |
|
|
|
<!-- 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-large-clara-med |
|
|
|
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the [CLARA-MeD](https://huggingface.co/lcampillos/CLARA-MeD) dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0898 |
|
- Rouge1: 28.9888 |
|
- Rouge2: 16.3801 |
|
- Rougel: 27.4186 |
|
- Rougelsum: 27.4043 |
|
- sari: 39.1731 |
|
|
|
## 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: 5.6e-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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| |
|
| No log | 1.0 | 380 | 1.1948 | 28.2861 | 15.6461 | 26.7126 | 26.7389 | |
|
| No log | 2.0 | 760 | 1.1361 | 28.3528 | 15.8519 | 26.8151 | 26.8069 | |
|
| 1.3561 | 3.0 | 1140 | 1.1051 | 29.6216 | 16.8227 | 28.0662 | 28.0613 | |
|
| 1.3561 | 4.0 | 1520 | 1.0915 | 29.3603 | 16.5008 | 27.7915 | 27.7761 | |
|
| 1.0939 | 5.0 | 1900 | 1.0898 | 28.9888 | 16.3801 | 27.4186 | 27.4043 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.12.1 |