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minipile-tune-lr-final – AI Model by yeri918 | AlphaNeural AI | AlphaNeural AI
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minipile-tune-lr-final
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transformers
safetensors
gpt_neox
text-generation
generated_from_trainer
custom_code
text-generation-inference
endpoints_compatible
us
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minipile-tune-lr-final
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.4263
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: 0.0003
train_batch_size: 13
eval_batch_size: 8
seed: 42
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
4.4703
1.0
21924
3.4263
Framework versions
Transformers 4.57.1
Pytorch 2.4.1
Datasets 3.0.1
Tokenizers 0.22.1
