codeparrot-ds-500sample-gpt-neo-2ep – AI Model by Pavithra | AlphaNeural AI

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Pavithra/
codeparrot-ds-500sample-gpt-neo-2ep

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codeparrot-ds-500sample-gpt-neo-2ep

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5483

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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.5248	0.19	1000	2.9757
2.5422	0.37	2000	2.4397
2.1642	0.56	3000	2.1880
1.9135	0.74	4000	1.9884
1.7236	0.93	5000	1.8470
1.5459	1.11	6000	1.7501
1.4363	1.3	7000	1.6761
1.3639	1.49	8000	1.6105
1.3046	1.67	9000	1.5667
1.273	1.86	10000	1.5483

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6