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problem347_model_mit

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Safetensors
llama
alignment-handbook
trl
sft
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metadata
base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B
library_name: peft
license: llama3.1
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: problem347_model_mit
    results: []

problem347_model_mit

This model is a fine-tuned version of barc0/Llama-3.1-ARC-Potpourri-Transduction-8B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0292

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-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 2
  • optimizer: Use 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: 2

Training results

Training Loss Epoch Step Validation Loss
No log 0 0 0.1121
0.1136 0.4 30 0.0323
0.0854 0.8 60 0.0274
0.0524 1.2 90 0.0294
0.0612 1.6 120 0.0289
0.082 2.0 150 0.0292

Framework versions

  • PEFT 0.13.2
  • Transformers 4.47.0.dev0
  • Pytorch 2.4.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3