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OH_DCFT_V3_wo_cot_alpaca

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metadata
library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: OH_DCFT_V3_wo_cot_alpaca
    results: []

OH_DCFT_V3_wo_cot_alpaca

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the mlfoundations-dev/OH_DCFT_V3_wo_cot_alpaca dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6369

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: 5e-06
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 16
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 512
  • total_eval_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.1
  • lr_scheduler_warmup_steps: 1738
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
0.6443 0.9982 418 0.6460
0.6046 1.9988 837 0.6354
0.5716 2.9946 1254 0.6369

Framework versions

  • Transformers 4.45.2
  • Pytorch 2.3.0
  • Datasets 2.21.0
  • Tokenizers 0.20.2