gpt-expt-sp-v3-K-600-MA-Mac-actions-kmeans-v4 – AI Model by nikaashpuri | AlphaNeural AI

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gpt-expt-sp-v3-K-600-MA-Mac-actions-kmeans-v4

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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gpt-expt-sp-v3-K-600-MA-Mac-actions-kmeans-v4

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

Loss: 0.0162

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: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1593	21.46	5000	0.0853
0.0847	42.92	10000	0.1198
0.0406	64.38	15000	0.0613
0.0324	85.83	20000	0.0307
0.0238	107.3	25000	0.0211
0.0207	128.75	30000	0.0184
0.0193	150.21	35000	0.0176
0.0185	171.67	40000	0.0171
0.018	193.13	45000	0.0170
0.0177	214.59	50000	0.0167
0.0174	236.05	55000	0.0167
0.0172	257.51	60000	0.0166
0.017	278.97	65000	0.0165
0.0169	300.43	70000	0.0164
0.0168	321.89	75000	0.0164
0.0167	343.35	80000	0.0163
0.0166	364.8	85000	0.0163
0.0165	386.27	90000	0.0163
0.0164	407.72	95000	0.0162
0.0164	429.18	100000	0.0162
0.0163	450.64	105000	0.0162
0.0163	472.1	110000	0.0162
0.0163	493.56	115000	0.0162

Framework versions

Transformers 4.26.1
Pytorch 1.13.1.post200
Datasets 2.9.0
Tokenizers 0.13.2