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gpt2-large_SATACT_v1 – AI Model by Salm00n | AlphaNeural AI
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Salm00n
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gpt2-large_SATACT_v1
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peft
safetensors
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openai-community/gpt2-large
adapter
mit
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gpt2-large_SATACT_v1
This model is a fine-tuned version of
openai-community/gpt2-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 8.1958
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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 2
total_eval_batch_size: 2
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
10.4461
1.0
460
9.0766
9.4277
2.0
920
8.4999
8.6846
3.0
1380
8.2832
8.0741
4.0
1840
8.1958
Framework versions
PEFT 0.15.1
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
