---
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flashcarder
  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. -->

# flashcarder

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: 0.1990

## 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: 4
- eval_batch_size: 16
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.474         | 1.0   | 1004 | 0.2415          |
| 0.2877        | 2.0   | 2008 | 0.2146          |
| 0.2514        | 3.0   | 3012 | 0.2101          |
| 0.2311        | 4.0   | 4016 | 0.2050          |
| 0.2131        | 5.0   | 5020 | 0.2004          |
| 0.2033        | 6.0   | 6024 | 0.2000          |
| 0.1932        | 7.0   | 7028 | 0.1983          |
| 0.1849        | 8.0   | 8032 | 0.1997          |
| 0.1813        | 9.0   | 9036 | 0.1990          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1