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---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flanT5-description-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. -->
# flanT5-description-generation
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: 0.3688
- Rouge1: 6.3055
- Rouge2: 5.5351
- Rougel: 5.9301
- Rougelsum: 5.9371
- Gen Len: 4.6041
## 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 | 99 | 3.9741 | 7.1174 | 6.3701 | 6.7345 | 6.7347 | 2.4264 |
| No log | 2.0 | 198 | 1.6340 | 7.0189 | 6.2738 | 6.6359 | 6.6379 | 2.6142 |
| No log | 3.0 | 297 | 0.7071 | 6.887 | 6.1128 | 6.512 | 6.515 | 3.0406 |
| No log | 4.0 | 396 | 0.4279 | 6.0645 | 5.1995 | 5.6723 | 5.6926 | 5.5787 |
| No log | 5.0 | 495 | 0.3688 | 6.3055 | 5.5351 | 5.9301 | 5.9371 | 4.6041 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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