Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
LLM_classification_finetuning20260301 – AI Model by violet371215 | AlphaNeural AI
You can deploy this model and start earning money today!
violet371215
/
LLM_classification_finetuning20260301
like
0
transformers
pytorch
pairwise-biencoder-classifier
feature-extraction
generated_from_trainer
custom_code
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
LLM_classification_finetuning20260301
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0476
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: 64
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
1.0945
1.0
719
1.0788
1.0839
2.0
1438
1.0730
1.0696
3.0
2157
1.0654
1.0651
4.0
2876
1.0476
1.0651
4.0
2876
1.0476
Framework versions
Transformers 4.57.6
Pytorch 2.9.0+cu126
Datasets 3.6.0
Tokenizers 0.22.2
