---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-ARv1
  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-ARv1

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8087
- Exact Match: 17.1569
- Gen Len: 4.0

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Exact Match | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:-------:|
| 0.8486        | 1.0   | 4246  | 0.8367          | 30.085      | 3.0     |
| 0.8316        | 2.0   | 8492  | 0.8192          | 17.1569     | 4.0     |
| 0.8266        | 3.0   | 12738 | 0.8136          | 17.1569     | 4.0     |
| 0.818         | 4.0   | 16984 | 0.8087          | 17.1569     | 4.0     |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.2.1
- Datasets 2.19.1
- Tokenizers 0.19.1