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Classic-RM-1M-v0.4 – AI Model by juyoungml | AlphaNeural AI
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Classic-RM-1M-v0.4
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transformers
safetensors
llama
text-classification
generated_from_trainer
meta-llama/Llama-3.1-8B-Instruct
finetune
llama3.1
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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Classic-RM-1M-v0.4
This model is a fine-tuned version of
meta-llama/Meta-Llama-3.1-8B-Instruct
on an unknown dataset.
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-06
train_batch_size: 8
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 512
total_eval_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1
Training results
Framework versions
Transformers 4.45.1
Pytorch 2.4.0+cu121
Datasets 2.19.2
Tokenizers 0.20.0
