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---
library_name: peft
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base
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-base
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4829
## 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: 0.01
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 7 | 4.4814 |
| 14.0527 | 2.0 | 14 | 2.8827 |
| 2.9577 | 3.0 | 21 | 0.9385 |
| 2.9577 | 4.0 | 28 | 0.7474 |
| 1.1968 | 5.0 | 35 | 0.6469 |
| 0.856 | 6.0 | 42 | 0.6204 |
| 0.856 | 7.0 | 49 | 0.5960 |
| 0.8294 | 8.0 | 56 | 0.5871 |
| 0.7195 | 9.0 | 63 | 0.5555 |
| 0.6591 | 10.0 | 70 | 0.5468 |
| 0.6591 | 11.0 | 77 | 0.5375 |
| 0.6328 | 12.0 | 84 | 0.5498 |
| 0.5922 | 13.0 | 91 | 0.5306 |
| 0.5922 | 14.0 | 98 | 0.5075 |
| 0.5789 | 15.0 | 105 | 0.4910 |
| 0.5288 | 16.0 | 112 | 0.4886 |
| 0.5288 | 17.0 | 119 | 0.4802 |
| 0.5109 | 18.0 | 126 | 0.4869 |
| 0.5001 | 19.0 | 133 | 0.4834 |
| 0.4811 | 20.0 | 140 | 0.4829 |
### Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Tokenizers 0.21.0 |