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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-hai
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-base-hai
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6881
- Rouge1: 39.7841
- Rouge2: 29.2031
- Rougel: 36.6883
- Rougelsum: 37.533
- Gen Len: 17.5106
## 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 | 118 | 0.9586 | 35.7723 | 22.9975 | 32.3447 | 33.2069 | 17.4894 |
| No log | 2.0 | 236 | 0.8239 | 36.2962 | 24.2274 | 33.1222 | 33.8173 | 17.5447 |
| No log | 3.0 | 354 | 0.7414 | 38.4245 | 27.3598 | 35.4793 | 36.3822 | 17.6596 |
| No log | 4.0 | 472 | 0.6988 | 39.386 | 28.7308 | 36.4217 | 37.2752 | 17.5277 |
| 0.8817 | 5.0 | 590 | 0.6881 | 39.7841 | 29.2031 | 36.6883 | 37.533 | 17.5106 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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