File size: 2,410 Bytes
9ece9a1 64bce66 9ece9a1 64bce66 9ece9a1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-finetuned-question-generation
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-finetuned-question-generation
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: 1.5888
- Rouge1: 49.9368
- Rouge2: 27.2185
- Rougel: 46.1729
- Rougelsum: 46.1900
- Gen Len: 13.7801
## 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: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.8453 | 1.0 | 10917 | 1.6093 | 47.9986 | 25.3028 | 44.3072 | 44.3345 | 13.6285 |
| 1.6998 | 2.0 | 21834 | 1.5955 | 49.1185 | 26.2998 | 45.4201 | 45.4194 | 13.4627 |
| 1.6257 | 3.0 | 32751 | 1.5933 | 49.4151 | 26.7655 | 45.6769 | 45.6809 | 13.7603 |
| 1.5722 | 4.0 | 43668 | 1.5822 | 49.4727 | 26.8015 | 45.8010 | 45.8247 | 13.6301 |
| 1.5337 | 5.0 | 54585 | 1.5881 | 49.5572 | 26.8461 | 45.8811 | 45.8919 | 13.7029 |
| 1.5045 | 6.0 | 65502 | 1.5852 | 49.7863 | 27.0921 | 46.0625 | 46.0677 | 13.8099 |
| 1.4822 | 7.0 | 76419 | 1.5867 | 49.7769 | 27.0550 | 46.0091 | 46.0228 | 13.8027 |
| 1.4674 | 8.0 | 87336 | 1.5888 | 49.9368 | 27.2185 | 46.1729 | 46.1900 | 13.7801 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1
|