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time_sft_llama3_8b – AI Model by stamina | AlphaNeural AI
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time_sft_llama3_8b
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transformers
safetensors
llama
text-generation
llama-factory
full
generated_from_trainer
conversational
other
autotrain_compatible
text-generation-inference
endpoints_compatible
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#This model is a fine-tuned version of
/AI4M/llm/llama3-8b
on the time_dataset dataset. It achieves the following results on the evaluation set:
Loss: 0.2756
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Use OptimizerNames.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_ratio: 0.1
num_epochs: 2.0
Training results
Training Loss
Epoch
Step
Validation Loss
0.3256
0.9914
86
0.3338
0.2795
1.9914
172
0.2756
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
