|
--- |
|
license: apache-2.0 |
|
base_model: google/flan-t5-small |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: flan-t5-small-insight0 |
|
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-small-insight0 |
|
|
|
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co./google/flan-t5-small) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1513 |
|
- Rouge1: 66.8836 |
|
- Rouge2: 52.2741 |
|
- Rougel: 63.2641 |
|
- Rougelsum: 64.6245 |
|
- Gen Len: 39.0 |
|
|
|
## 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 | 22 | 2.2280 | 44.9911 | 21.6141 | 38.2296 | 41.6228 | 19.0 | |
|
| No log | 2.0 | 44 | 1.5397 | 55.3502 | 44.0702 | 52.6667 | 52.208 | 19.0 | |
|
| No log | 3.0 | 66 | 1.2873 | 55.3502 | 44.0702 | 52.6667 | 52.208 | 19.0 | |
|
| No log | 4.0 | 88 | 1.1765 | 55.1136 | 44.0702 | 52.4682 | 52.0206 | 19.0 | |
|
| No log | 5.0 | 110 | 1.1513 | 55.1136 | 44.0702 | 52.4682 | 52.0206 | 19.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.16.0 |
|
- Tokenizers 0.15.0 |
|
|
