codeparrot-ds – AI Model by sahlebrahim | AlphaNeural AI

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sahlebrahim/
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: 1.0608

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: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.5681	0.0766	5000	1.7418
1.681	0.1533	10000	1.5234
1.5327	0.2299	15000	1.4203
1.4537	0.3065	20000	1.3538
1.3937	0.3832	25000	1.3036
1.3425	0.4598	30000	1.2559
1.2967	0.5365	35000	1.2136
1.2502	0.6131	40000	1.1694
1.2093	0.6897	45000	1.1325
1.1715	0.7664	50000	1.0991
1.1445	0.8430	55000	1.0757
1.1231	0.9196	60000	1.0637
1.1157	0.9963	65000	1.0608

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1