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sourceformer-epoch2 – AI Model by eerichmond33 | AlphaNeural AI
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eerichmond33
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sourceformer-epoch2
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transformers
pytorch
gpt_neo
text-generation
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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Model card
Files and Versions
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v1
This model is a fine-tuned version of
EleutherAI/gpt-neo-1.3B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.7852
Accuracy: 0.4448
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: 1e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 8
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 14
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.7444
1.0
72
2.7852
0.4449
2.6099
2.0
144
2.7852
0.4448
Framework versions
Transformers 4.29.2
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3
