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llama-300M-v2-trigram – AI Model by deqing | AlphaNeural AI
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llama-300M-v2-trigram
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transformers
safetensors
llama
text-generation
generated_from_trainer
text-generation-inference
endpoints_compatible
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llama-300M-v2-trigram
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: 3.0567
Num Input Tokens Seen: 9633792000
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: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 1000
num_epochs: 1
Training results
Framework versions
Transformers 5.1.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
