Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
smollm2-lora-results – AI Model by Swephoenix | AlphaNeural AI
You can deploy this model and start earning money today!
Swephoenix
/
smollm2-lora-results
like
0
peft
safetensors
generated_from_trainer
HuggingFaceTB/SmolLM-135M
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
smollm2-lora-results
This model is a fine-tuned version of
HuggingFaceTB/SmolLM-135M
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 7.0024
eval_perplexity: 1099.2529
eval_runtime: 3.107
eval_samples_per_second: 3.219
eval_steps_per_second: 3.219
epoch: 0.02
step: 10
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use 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_ratio: 0.03
num_epochs: 2
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.48.2
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
