Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable_delimeters_eos – AI Model by ShacharNar | AlphaNeural AI
You can deploy this model and start earning money today!
ShacharNar
/
PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable_delimeters_eos
like
0
peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-Coder-3B
adapter
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
PEFT_qwen2.5_coder_3b_probgate_schema_aware_finetuned_only_answerable_delimeters_eos
This model is a fine-tuned version of
Qwen/Qwen2.5-Coder-3B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0637
The model was trained using the
<start_sql>
and
<end_sql>
delimiters and the
<|end_of_text>
token.
LoRA config:
task_type='CAUSAL_LM'
r=128
target_modules={'embed_tokens', 'up_proj', 'gate_proj', 'down_proj', 'v_proj', 'o_proj', 'q_proj', 'lm_head', 'k_proj'}
lora_alpha=256
lora_dropout=0.1
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: 1
eval_batch_size: 1
seed: 42
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0
0
1.1647
0.0569
1.0
4674
0.0607
0.0519
2.0
9348
0.0608
0.0486
3.0
14022
0.0637
Framework versions
PEFT 0.14.0
Transformers 4.48.0
Pytorch 2.7.1+cu126
Datasets 3.2.0
Tokenizers 0.21.0
