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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-large
metrics:
- rouge
model-index:
- name: flant5-large-lora
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-large-lora
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co./google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6119
- Rouge1: 8.9675
- Rouge2: 0.6714
- Rougel: 8.0407
- Rougelsum: 8.3753
- Gen Len: 18.37
## 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: 1e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- 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 | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.8402 | 1.0 | 1538 | 0.7486 | 8.8441 | 0.6859 | 7.9731 | 8.3103 | 19.502 |
| 0.8152 | 2.0 | 3076 | 0.6119 | 8.9675 | 0.6714 | 8.0407 | 8.3753 | 18.37 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.15.2 |