gpt2_small_baby_50Mf_32768_76

xiulinyang/gpt2_small_baby_50Mf_32768_76

gpt2_small_baby_50Mf_32768_76 is a machine learning model from xiulinyang. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

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Hugging Face

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At a glance

Model type: gpt2
Access: Public
Created: Oct 25, 2025
Updated: Oct 25, 2025
SHA: 16a498d0

Model card

From the Hugging Face model README

gpt2_small_baby_50Mf_32768_76

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.9341
Accuracy: 0.3496

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: 32
eval_batch_size: 32
seed: 76
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 40000
training_steps: 100000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.3358	0.43	2000	6.0770	0.1978
4.424	0.86	4000	5.4290	0.2170
4.15	1.29	6000	5.1278	0.2393
3.8801	1.72	8000	4.8689	0.2633
3.7194	2.15	10000	4.6876	0.2779
3.6151	2.58	12000	4.5594	0.2885
3.5255	3.01	14000	4.4414	0.2988
3.4543	3.44	16000	4.3639	0.3044
3.4014	3.87	18000	4.2776	0.3101
3.334	4.3	20000	4.2464	0.3138
3.3091	4.73	22000	4.1772	0.3184
3.2593	5.16	24000	4.1479	0.3222
3.2365	5.59	26000	4.1097	0.3237
3.2101	6.02	28000	4.0866	0.3261
3.1732	6.44	30000	4.0409	0.3293
3.1717	6.87	32000	4.0502	0.3314
3.1192	7.3	34000	4.0476	0.3324
3.1247	7.73	36000	3.9911	0.3359
3.0824	8.16	38000	3.9831	0.3355
3.0808	8.59	40000	4.0085	0.3357
3.0774	9.02	42000	3.9697	0.3398
3.0314	9.45	44000	3.9758	0.3416
3.0386	9.88	46000	3.9461	0.3411
2.9746	10.31	48000	3.9484	0.3428
2.9886	10.74	50000	3.9535	0.3444
2.9381	11.17	52000	3.9461	0.3453
2.9454	11.6	54000	3.9491	0.3467
2.9442	12.03	56000	3.9373	0.3471
2.9067	12.46	58000	3.9283	0.3483
2.9128	12.89	60000	3.9341	0.3496
2.8641	13.32	62000	3.9574	0.3485
2.8738	13.75	64000	3.9394	0.3500
2.8249	14.18	66000	3.9584	0.3494

Framework versions

Transformers 4.30.2
Pytorch 2.9.0+cu128
Datasets 4.1.1
Tokenizers 0.13.3

Type: gpt2
Created: Oct 25, 2025
Updated: Oct 25, 2025