flan_t5_lora_finetuned

CoffeeClozers/flan_t5_lora_finetuned

flan_t5_lora_finetuned is a machine learning model from CoffeeClozers. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

23% of all-time downloads

All-time downloads

Public

Repo size

18.9 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors18.9 MB · 100%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Dec 10, 2024
Updated: Dec 10, 2024
SHA: 098888db

Base models

google/flan-t5-xl

Model card

From the Hugging Face model README

flan_t5_lora_finetuned

This model is a fine-tuned version of google/flan-t5-xl on the None dataset. It achieves the following results on the evaluation set:

Loss: 33.3701

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: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
9.7883	1.0	734	33.3701
2177882.6	2.0	1468	33.3701
2460.8287	2.9966	2199	33.3701

Framework versions

PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.21.0

Library: peft
License: apache-2.0
Created: Dec 10, 2024
Updated: Dec 10, 2024