Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
qwen_mn_en_finetuned – AI Model by Billyyy | AlphaNeural AI
You can deploy this model and start earning money today!
Billyyy
/
qwen_mn_en_finetuned
like
0
peft
safetensors
generated_from_trainer
Qwen/Qwen2.5-7B-Instruct
adapter
apache-2.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
qwen_mn_en_finetuned
This model is a fine-tuned version of
Qwen/Qwen2.5-7B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9825
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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.0587
0.3368
100
1.0633
0.9968
0.6737
200
1.0171
1.0593
1.0135
300
0.9982
0.9898
1.3503
400
0.9873
0.9713
1.6872
500
0.9825
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
