Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
en-tel – AI Model by sril32996 | AlphaNeural AI
You can deploy this model and start earning money today!
sril32996
/
en-tel
like
0
peft
safetensors
unsloth
generated_from_trainer
llama3.2
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
en-tel
This model is a fine-tuned version of
unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
on the None dataset. It achieves the following results on the evaluation set:
Loss: 20.6121
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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
lr_scheduler_warmup_steps: 100
num_epochs: 7
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
9.7358
1.2195
50
10.6668
6.2205
2.4390
100
24.3387
5.3569
3.6585
150
22.8831
5.1264
4.8780
200
21.4727
5.0125
6.0976
250
20.6121
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
