GPT-2_3M_finetuned2 – AI Model by Toflamus | AlphaNeural AI

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Toflamus/
GPT-2_3M_finetuned2

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text-generation

generated_from_trainer

Toflamus/GPT-2_para3M

autotrain_compatible

text-generation-inference

endpoints_compatible

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Output

This model is a fine-tuned version of Toflamus/GPT-2_para3M on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 5.9785

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
7.6797	0.27	100	7.0355
6.9842	0.55	200	6.6754
6.7517	0.82	300	6.5074
6.6145	1.09	400	6.3942
6.5294	1.37	500	6.3043
6.4228	1.64	600	6.2332
6.3582	1.91	700	6.1772
6.3	2.19	800	6.1279
6.2841	2.46	900	6.0878
6.2103	2.73	1000	6.0572
6.1908	3.01	1100	6.0325
6.1733	3.28	1200	6.0132
6.1383	3.55	1300	5.9991
6.149	3.83	1400	5.9901
6.1383	4.1	1500	5.9836
6.1155	4.37	1600	5.9800
6.1275	4.65	1700	5.9788
6.1257	4.92	1800	5.9785

Framework versions

Transformers 4.32.0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.2