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

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

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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-v3

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

Loss: 0.0160

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
0.1609	25.38	5000	0.0690
0.0733	50.76	10000	0.0576
0.0365	76.14	15000	0.0392
0.0324	101.52	20000	0.0456
0.0267	126.9	25000	0.0406
0.0249	152.28	30000	0.0311
0.0234	177.66	35000	0.0271
0.0215	203.05	40000	0.0221
0.0203	228.42	45000	0.0243
0.0189	253.8	50000	0.0192
0.0181	279.19	55000	0.0175
0.0174	304.57	60000	0.0167
0.017	329.95	65000	0.0165
0.0167	355.33	70000	0.0162
0.0165	380.71	75000	0.0161
0.0163	406.09	80000	0.0160
0.0162	431.47	85000	0.0160
0.0161	456.85	90000	0.0160
0.0161	482.23	95000	0.0160

Framework versions

Transformers 4.26.1
Pytorch 1.13.1.post200
Datasets 2.9.0
Tokenizers 0.13.2