GPT-Neo-33M-simplewiki-2048-scratch – AI Model by pszemraj | AlphaNeural AI

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pszemraj/
GPT-Neo-33M-simplewiki-2048-scratch

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text-generation

generated_from_trainer

pszemraj/simple_wikipedia_LM

roneneldan/TinyStories-33M

autotrain_compatible

endpoints_compatible

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GPT-Neo-33M-simplewiki-2048-scratch

Initialized from random weights based on config from roneneldan/TinyStories-33M, 3 epochs bf16.

It achieves the following results on the evaluation set:

Loss: 3.9511
Accuracy: 0.3843

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: 2
eval_batch_size: 2
seed: 80085
gradient_accumulation_steps: 64
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.4676	0.45	100	5.0139	0.2811
5.1729	0.89	200	4.6737	0.3050
4.8702	1.34	300	4.4922	0.3170
4.5538	1.79	400	4.3026	0.3348
4.4818	2.23	500	4.0908	0.3649
4.4583	2.68	600	3.9511	0.3843

Framework versions

Transformers 4.33.1
Pytorch 2.2.0.dev20230907+cu118
Datasets 2.14.5
Tokenizers 0.13.3