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---

license: apache-2.0
base_model: G-R-A-V-I-T-Y/flan-t5-base-ARv1
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-ARv1-ARv2
  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-ARv2

This model is a fine-tuned version of [G-R-A-V-I-T-Y/flan-t5-base-ARv1](https://huggingface.co/G-R-A-V-I-T-Y/flan-t5-base-ARv1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7981
- Exact Match: 10.0
- 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: 5e-05

- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
| No log        | 1.0   | 7    | 0.7981          | 10.0        | 4.0     |
| No log        | 2.0   | 14   | 0.7982          | 10.0        | 4.0     |
| No log        | 3.0   | 21   | 0.7982          | 10.0        | 4.0     |
| No log        | 4.0   | 28   | 0.7982          | 10.0        | 4.0     |
| No log        | 5.0   | 35   | 0.7982          | 10.0        | 4.0     |
| No log        | 6.0   | 42   | 0.7982          | 10.0        | 4.0     |
| No log        | 7.0   | 49   | 0.7982          | 10.0        | 4.0     |
| No log        | 8.0   | 56   | 0.7982          | 10.0        | 4.0     |
| No log        | 9.0   | 63   | 0.7982          | 10.0        | 4.0     |
| No log        | 10.0  | 70   | 0.7982          | 10.0        | 4.0     |
| No log        | 11.0  | 77   | 0.7983          | 10.0        | 4.0     |
| No log        | 12.0  | 84   | 0.7983          | 10.0        | 4.0     |
| No log        | 13.0  | 91   | 0.7983          | 10.0        | 4.0     |
| No log        | 14.0  | 98   | 0.7983          | 10.0        | 4.0     |
| No log        | 15.0  | 105  | 0.7984          | 10.0        | 4.0     |
| No log        | 16.0  | 112  | 0.7984          | 10.0        | 4.0     |
| No log        | 17.0  | 119  | 0.7984          | 10.0        | 4.0     |
| No log        | 18.0  | 126  | 0.7984          | 10.0        | 4.0     |
| No log        | 19.0  | 133  | 0.7984          | 10.0        | 4.0     |
| No log        | 20.0  | 140  | 0.7984          | 10.0        | 4.0     |


### Framework versions

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