gpt-expt-sp-v3-K-600-MA-actions-kmeans-v2 – AI Model by nikaashpuri | AlphaNeural AI

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nikaashpuri/
gpt-expt-sp-v3-K-600-MA-actions-kmeans-v2

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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-actions-kmeans-v2

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

Loss: 0.0165

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
0.1578	19.08	5000	0.0784
0.0432	38.17	10000	0.0289
0.1022	57.25	15000	0.0259
0.0257	76.34	20000	0.0203
0.0216	95.42	25000	0.0184
0.0196	114.5	30000	0.0177
0.0183	133.59	35000	0.0180
0.0178	152.67	40000	0.0171
0.0176	171.76	45000	0.0170
0.0174	190.84	50000	0.0169
0.0172	209.92	55000	0.0168
0.0171	229.01	60000	0.0168
0.017	248.09	65000	0.0167
0.0169	267.18	70000	0.0167
0.0169	286.26	75000	0.0166
0.0168	305.34	80000	0.0166
0.0168	324.43	85000	0.0166
0.0167	343.51	90000	0.0166
0.0167	362.6	95000	0.0165
0.0166	381.68	100000	0.0165
0.0166	400.76	105000	0.0165
0.0166	419.85	110000	0.0165
0.0165	438.93	115000	0.0165
0.0165	458.02	120000	0.0165
0.0165	477.1	125000	0.0165
0.0165	496.18	130000	0.0165

Framework versions

Transformers 4.26.1
Pytorch 1.13.1.post200
Datasets 2.9.0
Tokenizers 0.13.2