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hp_ablations_gemma_adambeta2_0.98

Text Generation
Transformers
Safetensors
gemma2
llama-factory
full
Generated from Trainer
text-generation-inference
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metadata
library_name: transformers
license: gemma
base_model: google/gemma-2-9b
tags:
  - llama-factory
  - full
  - generated_from_trainer
model-index:
  - name: hp_ablations_gemma_adambeta2_0.98
    results: []

hp_ablations_gemma_adambeta2_0.98

This model is a fine-tuned version of google/gemma-2-9b on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6000

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: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 512
  • total_eval_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • 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
0.5936 0.9997 443 0.5915
0.5436 1.9994 886 0.5872
0.49 2.9992 1329 0.6000

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.3.0
  • Datasets 3.0.2
  • Tokenizers 0.20.3