npc-dialogue-generator-gpt-2

yenanw/npc-dialogue-generator-gpt-2

npc-dialogue-generator-gpt-2 is a machine learning model from yenanw. 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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At a glance

Library: peft
License: mit
Access: Public
Created: Oct 24, 2024
Updated: Oct 24, 2024
SHA: 742931ff

Base models

openai-community/gpt2

Model card

From the Hugging Face model README

npc-dialogue-generator-gpt-2

This model is a fine-tuned version of openai-community/gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0356
Precision: 0.8420
Recall: 0.8635
F1: 0.8526

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: 0.0005
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 2000
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1
15.3736	0.1970	1000	2.4567	0.8188	0.8493	0.8336
2.5231	0.3939	2000	2.2844	0.8238	0.8527	0.8379
2.3796	0.5909	3000	2.1923	0.8357	0.8572	0.8463
2.3096	0.7879	4000	2.1543	0.8382	0.8594	0.8486
2.2672	0.9848	5000	2.1211	0.8389	0.8606	0.8496
2.2388	1.1818	6000	2.0999	0.8400	0.8615	0.8506
2.2202	1.3788	7000	2.0815	0.8407	0.8619	0.8511
2.2023	1.5757	8000	2.0684	0.8413	0.8623	0.8516
2.1897	1.7727	9000	2.0558	0.8415	0.8624	0.8518
2.1808	1.9697	10000	2.0511	0.8411	0.8628	0.8518
2.1736	2.1666	11000	2.0444	0.8416	0.8632	0.8522
2.1646	2.3636	12000	2.0399	0.8418	0.8634	0.8525
2.1646	2.5606	13000	2.0373	0.8420	0.8634	0.8526
2.1613	2.7575	14000	2.0364	0.8419	0.8635	0.8525
2.1593	2.9545	15000	2.0356	0.8420	0.8635	0.8526

Framework versions

PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.5.0+cu124
Datasets 3.0.2
Tokenizers 0.20.1

Library: peft
License: mit
Created: Oct 24, 2024
Updated: Oct 24, 2024