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mHC-1.5B – AI Model by zeng123 | AlphaNeural AI
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zeng123
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mHC-1.5B
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
other
text-generation-inference
endpoints_compatible
us
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1b_baseline_mhc_qknorm_gqa6kv_smallpile_lr1p5e3
This model is a fine-tuned version of
Llama_config/1b_baseline_mhc_qknorm_gqa6kv_lr1p5e3
on the smallpile dataset. It achieves the following results on the evaluation set:
Loss: 2.0648
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: 0.0015
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 32
gradient_accumulation_steps: 8
total_train_batch_size: 1024
total_eval_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_min_lr
lr_scheduler_warmup_ratio: 0.02
num_epochs: 1.0
Training results
Training Loss
Epoch
Step
Validation Loss
16.9854
0.64
10000
2.1395
Framework versions
Transformers 4.46.1
Pytorch 2.6.0
Datasets 3.1.0
Tokenizers 0.20.3
