Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
convergent-llama-300M-muon-window-4 – AI Model by deqing | AlphaNeural AI
You can deploy this model and start earning money today!
deqing
/
convergent-llama-300M-muon-window-4
like
0
transformers
safetensors
llama
text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
llama-300M-v5-window_4
This model is a fine-tuned version of
llama_small_config.json
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 6.8073
Num Input Tokens Seen: 9437184000
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: 32
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu128
Datasets 4.7.0
Tokenizers 0.22.2
