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Classic-RM-300K-v0.6

Text Classification
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Safetensors
llama
Generated from Trainer
text-generation-inference
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Classic-RM-300K-v0.6 / README.md
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metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
library_name: transformers
license: llama3.1
tags:
  - generated_from_trainer
model-index:
  - name: Classic-RM-300K-v0.6
    results: []

Classic-RM-300K-v0.6

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