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Classic-Skywork-RM – AI Model by juyoungml | AlphaNeural AI

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juyoungml/
Classic-Skywork-RM

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text-classification

generated_from_trainer

meta-llama/Llama-3.1-8B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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Classic-Skywork-RM

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: 4
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 4
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 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.19.0
Tokenizers 0.20.1