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MindMate_v2 – AI Model by pubgmob1024 | AlphaNeural AI
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pubgmob1024
/
MindMate_v2
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
conversational
pubgmob1024/MindMate_v1
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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MindMate_v2
This model is a fine-tuned version of
pubgmob1024/MindMate
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0421
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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.9907
1.0
2231
2.0655
1.9061
2.0
4462
2.0435
1.8051
2.9989
6690
2.0421
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
