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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-large
model-index:
- name: flan-t5-large-samsum
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-samsum
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: 0.9492
## 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: 0.001
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2035 | 1.0 | 4738 | 1.0323 |
| 1.1186 | 2.0 | 9476 | 1.0119 |
| 1.0904 | 3.0 | 14214 | 0.9983 |
| 1.0591 | 4.0 | 18952 | 0.9858 |
| 1.0319 | 5.0 | 23690 | 0.9711 |
| 0.9659 | 6.0 | 28428 | 0.9620 |
| 0.9388 | 7.0 | 33166 | 0.9547 |
| 0.9148 | 8.0 | 37904 | 0.9510 |
| 0.8681 | 9.0 | 42642 | 0.9486 |
| 0.8502 | 10.0 | 47380 | 0.9492 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |