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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google/flan-t5-xl
model-index:
- name: t5-xl-v2
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. -->
# t5-xl-v2
This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8350
- Rouge1: 29.9535
- Rouge2: 11.4157
- Rougel: 21.3830
- Rougelsum: 21.3793
## 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: 4e-05
- train_batch_size: 24
- eval_batch_size: 32
- seed: 7
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.1401 | 0.34 | 300 | 1.8438 | 30.0703 | 11.5959 | 21.6066 | 21.6053 |
| 2.13 | 0.67 | 600 | 1.8369 | 29.9460 | 11.6006 | 21.6609 | 21.6625 |
| 2.1364 | 1.01 | 900 | 1.8262 | 30.2597 | 11.8455 | 21.7202 | 21.7212 |
| 2.1301 | 1.35 | 1200 | 1.8301 | 30.1492 | 11.6922 | 21.6115 | 21.6151 |
| 2.146 | 1.68 | 1500 | 1.8350 | 29.9535 | 11.4157 | 21.3830 | 21.3793 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |