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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google-t5/t5-base
model-index:
- name: fakeqlort5
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. -->
# fakeqlort5
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co./google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3242
- Rouge1: 43.7262
- Rouge2: 20.7658
- Rougel: 26.8096
- Rougelsum: 39.9061
- Gen Len: 292.984
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.6036 | 1.0 | 1000 | 2.3242 | 43.7262 | 20.7658 | 26.8096 | 39.9061 | 292.984 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2 |