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llama-3.1-8b-sft-full_noisy_2.0_bon-sft – AI Model by pragsri8 | AlphaNeural AI
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llama-3.1-8b-sft-full_noisy_2.0_bon-sft
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transformers
tensorboard
safetensors
llama
text-generation
trl
sft
generated_from_trainer
conversational
generator
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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llama-3.1-8b-sft-full_noisy_2.0_bon-sft
This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:
Loss: 1.3242
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
total_train_batch_size: 32
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: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.3487
1.0
57
1.3242
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0
