Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
deepseek-r1-1.5b-finetuned – AI Model by botanical1058 | AlphaNeural AI
You can deploy this model and start earning money today!
botanical1058
/
deepseek-r1-1.5b-finetuned
like
0
transformers
safetensors
qwen2
text-classification
generated_from_trainer
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
finetune
mit
text-embeddings-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
deepseek-r1-1.5b-finetuned
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2611
Accuracy: 0.8721
Precision: 0.8752
Recall: 0.8721
F1: 0.8726
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
3.3097
1.0
49
0.3026
0.8372
0.8390
0.8372
0.8377
0.8218
2.0
98
0.2645
0.8721
0.8752
0.8721
0.8726
0.9199
3.0
147
0.2611
0.8721
0.8752
0.8721
0.8726
Framework versions
Transformers 5.12.1
Pytorch 2.11.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2
