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candor_shuffle_1gr_30 – AI Model by fpadovani | AlphaNeural AI
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candor_shuffle_1gr_30
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transformers
safetensors
gpt2
text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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candor_shuffle_1gr_30
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 4.4435
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: 0.0001
train_batch_size: 256
eval_batch_size: 256
seed: 30
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
5.7072
1.0
427
4.7148
4.6439
2.0
854
4.5683
4.5444
3.0
1281
4.5002
4.4868
4.0
1708
4.4598
4.4504
5.0
2135
4.4435
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0
