codeparrot-ds – AI Model by thsohn | AlphaNeural AI

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thsohn/
codeparrot-ds

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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codeparrot-ds

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

Loss: 4.9260

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
9.4997	0.18	10	8.0307
7.1464	0.36	20	7.0639
6.7447	0.54	30	6.8856
6.4819	0.72	40	6.6801
6.2576	0.9	50	6.4703
6.0151	1.08	60	6.2236
5.7178	1.26	70	6.0277
5.5432	1.44	80	5.8780
5.4003	1.62	90	5.7475
5.2611	1.8	100	5.6555
5.1703	1.98	110	5.5344
5.0115	2.16	120	5.4731
4.9182	2.34	130	5.3787
4.8519	2.52	140	5.3300
4.7389	2.7	150	5.2398
4.6887	2.88	160	5.1947
4.5515	3.06	170	5.1424
4.4606	3.24	180	5.1048
4.4699	3.42	190	5.0667
4.3777	3.6	200	5.0200
4.3894	3.78	210	4.9892
4.3143	3.96	220	4.9688
4.2688	4.14	230	4.9515
4.2468	4.32	240	4.9410
4.2191	4.5	250	4.9304
4.2512	4.68	260	4.9270
4.217	4.86	270	4.9260

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2