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dpt2 – AI Model by eswardivi | AlphaNeural AI
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eswardivi
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dpt2
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transformers
pytorch
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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dpt2
This model is a fine-tuned version of
gpt2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 7.5055
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: 4e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: sagemaker_data_parallel
num_devices: 8
total_train_batch_size: 128
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
8.502
0.55
500
8.4534
8.0415
1.11
1000
7.9871
7.7597
1.66
1500
7.7447
7.6464
2.22
2000
7.6124
7.5645
2.77
2500
7.5410
7.5485
3.33
3000
7.5114
7.5596
3.88
3500
7.5055
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.16.1
Tokenizers 0.13.3
