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MindEase-80K-Real – AI Model by azkamannan2004 | AlphaNeural AI
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MindEase-80K-Real
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azkamannan2004/MindEase-70K-Real
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MindEase-80K-Real
This model is a fine-tuned version of
azkamannan2004/MindEase-70K-Real
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
3.56
1000
0.0
0.0
7.11
2000
0.0
Framework versions
Transformers 4.38.2
Pytorch 2.9.0+cu126
Datasets 2.18.0
Tokenizers 0.15.2
