---
library_name: transformers
license: apache-2.0
base_model: chentong00/propositionizer-wiki-flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: qsaf_propositional
  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. -->

# qsaf_propositional

This model is a fine-tuned version of [chentong00/propositionizer-wiki-flan-t5-large](https://huggingface.co/chentong00/propositionizer-wiki-flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4423

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4745        | 1.7778 | 500  | 0.3914          |
| 0.4061        | 3.5556 | 1000 | 0.3874          |
| 0.3591        | 5.3333 | 1500 | 0.4040          |
| 0.3246        | 7.1111 | 2000 | 0.4303          |
| 0.3303        | 8.8889 | 2500 | 0.4423          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.4