Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
qwen25_7b_rm_acc_5e5_3ep – AI Model by Jennny | AlphaNeural AI
You can deploy this model and start earning money today!
Jennny
/
qwen25_7b_rm_acc_5e5_3ep
like
0
transformers
safetensors
qwen2
text-classification
generated_from_trainer
Jennny/qwen25_7b_sft_math
finetune
autotrain_compatible
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
qwen25_7b_rm_acc_5e5_3ep
This model is a fine-tuned version of
Jennny/qwen25_7b_sft_math
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1814
Accuracy: 0.72
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: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1609
0.4848
10
0.9237
0.6467
0.2258
0.9697
20
0.8203
0.65
0.1396
1.4848
30
0.7778
0.66
0.1603
1.9697
40
0.8515
0.6867
0.0226
2.4848
50
1.2602
0.7067
0.011
2.9697
60
1.1814
0.72
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.1
