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maze_replicate_10_test – AI Model by mtzig | AlphaNeural AI | AlphaNeural AI
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maze_replicate_10_test
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maze_replicate_10_test
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6046
Accuracy: 0.0
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: 0.001
train_batch_size: 32
eval_batch_size: 128
seed: 7658372
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
Accuracy
No log
0
0
1.8580
0.0
3.4351
0.3175
10
1.6489
0.0
3.3558
0.6349
20
1.6199
0.0
3.3084
0.9524
30
1.6046
0.0
Framework versions
Transformers 4.46.0
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.1
