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class_stand_model – AI Model by soikit | AlphaNeural AI
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class_stand_model
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transformers
tensorboard
safetensors
qwen2
text-generation
generated_from_trainer
conversational
autotrain_compatible
text-generation-inference
endpoints_compatible
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class_stand_model
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.6650
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-06
train_batch_size: 2
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.9748
29
2.5157
2.5054
1.9916
59
2.4631
2.5054
2.9748
88
2.4333
2.2607
3.9916
118
2.4291
2.2607
4.9748
147
2.4790
1.8979
5.9916
177
2.5425
1.5637
6.9748
206
2.6650
Framework versions
Transformers 4.46.1
Pytorch 2.3.0+cu121
Datasets 3.1.0
Tokenizers 0.20.1
