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---
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mymodel_LORA_base_10k_2e5_3epoch_batch16_T4
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. -->
# mymodel_LORA_base_10k_2e5_3epoch_batch16_T4
This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9509
- Rouge1: 0.5087
- Rouge2: 0.21
- Rougel: 0.3279
- Rougelsum: 0.3278
- Gen Len: 47.1885
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.904 | 1.0 | 500 | 2.0384 | 0.4986 | 0.1981 | 0.323 | 0.3231 | 54.0445 |
| 2.167 | 2.0 | 1000 | 1.9662 | 0.5068 | 0.2053 | 0.3269 | 0.3268 | 54.8295 |
| 2.1217 | 3.0 | 1500 | 1.9509 | 0.5087 | 0.21 | 0.3279 | 0.3278 | 47.1885 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
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