---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google/flan-t5-base
model-index:
- name: flan-t5-base-AR-LORA-V1
  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-AR-LORA-V1

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: 0.7342
- Exact Match: 30.9591
- Gen Len: 3.6062

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:-------:|
| 0.8221        | 1.0   | 4246  | 0.8269          | 20.5823     | 3.8789  |
| 0.7459        | 2.0   | 8492  | 0.7917          | 26.3525     | 3.6663  |
| 0.7727        | 3.0   | 12738 | 0.7775          | 30.8587     | 3.4217  |
| 0.758         | 4.0   | 16984 | 0.7652          | 26.5946     | 3.7380  |
| 0.7465        | 5.0   | 21230 | 0.7551          | 28.2601     | 3.6873  |
| 0.6693        | 6.0   | 25476 | 0.7524          | 30.0201     | 3.6045  |
| 0.6364        | 7.0   | 29722 | 0.7529          | 28.7208     | 3.6432  |
| 0.6907        | 8.0   | 33968 | 0.7474          | 29.9965     | 3.6177  |
| 0.8167        | 9.0   | 38214 | 0.7400          | 30.528      | 3.5908  |
| 0.7631        | 10.0  | 42460 | 0.7407          | 31.095      | 3.5620  |
| 0.7106        | 11.0  | 46706 | 0.7374          | 31.3962     | 3.5518  |
| 0.7018        | 12.0  | 50952 | 0.7383          | 30.4394     | 3.6223  |
| 0.6446        | 13.0  | 55198 | 0.7360          | 29.4354     | 3.6789  |
| 0.7872        | 14.0  | 59444 | 0.7355          | 30.2209     | 3.6359  |
| 0.8111        | 15.0  | 63690 | 0.7364          | 30.2622     | 3.6182  |
| 0.7027        | 16.0  | 67936 | 0.7346          | 29.8429     | 3.6637  |
| 0.7077        | 17.0  | 72182 | 0.7371          | 30.5398     | 3.6260  |
| 0.7806        | 18.0  | 76428 | 0.7342          | 31.03       | 3.5911  |
| 0.762         | 19.0  | 80674 | 0.7354          | 31.095      | 3.6043  |
| 0.6805        | 20.0  | 84920 | 0.7342          | 30.9591     | 3.6062  |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.1
- Tokenizers 0.19.1