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jd3-jsft8

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metadata
license: other
base_model: stojchet/jd3
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: jd3-jsft8
    results: []

Visualize in Weights & Biases

jd3-jsft8

This model is a fine-tuned version of stojchet/jd3 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1945

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 200
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.0669 2.56 100 1.1945

Framework versions

  • Transformers 4.43.0.dev0
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1