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---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-test
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-test
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: 0.4375
- Rouge1: 55.6701
- Rouge2: 45.6817
- Rougel: 52.259
- Rougelsum: 52.2632
- Gen Len: 494.295
## 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 | 100 | 0.4736 | 47.5356 | 37.7662 | 43.8872 | 43.933 | 493.725 |
| No log | 2.0 | 200 | 0.4582 | 51.7559 | 41.8487 | 48.1235 | 48.1762 | 494.835 |
| No log | 3.0 | 300 | 0.4469 | 52.8576 | 43.1039 | 49.3153 | 49.36 | 493.225 |
| No log | 4.0 | 400 | 0.4395 | 55.4214 | 45.3968 | 51.8613 | 51.8725 | 492.5 |
| 0.5066 | 5.0 | 500 | 0.4375 | 55.6701 | 45.6817 | 52.259 | 52.2632 | 494.295 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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