ss-100k-1 – AI Model by hopkins | AlphaNeural AI

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hopkins/
ss-100k-1

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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ss-100k-1

This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:

Loss: 5.5173

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 18
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
9.4558	0.57	50	8.0579
7.7435	1.14	100	6.5844
6.4414	1.7	150	5.8475
5.9007	2.27	200	5.5338
5.5694	2.84	250	5.3088
5.3013	3.41	300	5.1569
5.0988	3.98	350	5.0276
4.8951	4.54	400	4.9282
4.7554	5.11	450	4.8577
4.5666	5.68	500	4.7978
4.4377	6.25	550	4.7625
4.3028	6.82	600	4.7126
4.1444	7.39	650	4.7261
4.0778	7.95	700	4.6753
3.8698	8.52	750	4.7045
3.839	9.09	800	4.7152
3.6258	9.66	850	4.7403
3.5713	10.23	900	4.7892
3.4446	10.79	950	4.7699
3.286	11.36	1000	4.8856
3.2562	11.93	1050	4.8461
2.9637	12.5	1100	4.9527
2.9602	13.07	1150	5.0062
2.6089	13.64	1200	5.0722
2.5281	14.2	1250	5.1845
2.2841	14.77	1300	5.2223
2.0771	15.34	1350	5.3392
1.9404	15.91	1400	5.3822
1.7145	16.48	1450	5.4698
1.6542	17.05	1500	5.4900
1.5286	17.61	1550	5.5173

Framework versions

Transformers 4.26.1
Pytorch 1.11.0+cu113
Datasets 2.12.0
Tokenizers 0.13.3