output_dir

Aravindan/output_dir

output_dir is a machine learning model from Aravindan. 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 mit.

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

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Hugging Face

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At a glance

Library: peft
License: mit
Access: Public
Created: Jun 13, 2024
Updated: Jun 13, 2024
SHA: 4c054f12

Base models

Aravindan/gpt2out

Datasets

generator

Model card

From the Hugging Face model README

output_dir

This model is a fine-tuned version of Aravindan/gpt2out on the generator dataset. It achieves the following results on the evaluation set:

Loss: 1.9619

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 80
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.6318	0.0147	30	2.4202
2.5147	0.0294	60	2.3425
2.4599	0.0440	90	2.2838
2.4009	0.0587	120	2.2386
2.394	0.0734	150	2.1971
2.3459	0.0881	180	2.1614
2.3057	0.1027	210	2.1324
2.3085	0.1174	240	2.1076
2.2675	0.1321	270	2.0891
2.2348	0.1468	300	2.0716
2.2167	0.1614	330	2.0594
2.1827	0.1761	360	2.0481
2.2049	0.1908	390	2.0390
2.1803	0.2055	420	2.0303
2.1709	0.2201	450	2.0250
2.1915	0.2348	480	2.0183
2.1583	0.2495	510	2.0120
2.168	0.2642	540	2.0072
2.1678	0.2788	570	2.0026
2.1545	0.2935	600	1.9988
2.1561	0.3082	630	1.9941
2.1442	0.3229	660	1.9913
2.1393	0.3375	690	1.9867
2.1489	0.3522	720	1.9834
2.1304	0.3669	750	1.9814
2.1175	0.3816	780	1.9783
2.113	0.3962	810	1.9753
2.1025	0.4109	840	1.9729
2.1181	0.4256	870	1.9711
2.0947	0.4403	900	1.9688
2.0868	0.4549	930	1.9665
2.1061	0.4696	960	1.9638
2.1096	0.4843	990	1.9619

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

Library: peft
License: mit
Created: Jun 13, 2024
Updated: Jun 13, 2024