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---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large-peft-mixSub
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-large-peft-mixSub
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co./google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9408
- Rouge1: 39.2511
- Rouge2: 14.4613
- Rougel: 28.6907
- Rougelsum: 35.9795
- Gen Len: 97.8269
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.1134 | 1.0 | 1630 | 1.9559 | 39.0131 | 14.3369 | 28.4611 | 35.7936 | 96.2081 |
| 2.0783 | 2.0 | 3260 | 1.9438 | 39.0184 | 14.3571 | 28.5375 | 35.7466 | 99.4684 |
| 2.0722 | 3.0 | 4890 | 1.9408 | 39.2511 | 14.4613 | 28.6907 | 35.9795 | 97.8269 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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