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cc4a3486-a710-49ea-8182-a30d05a62e39

This model is a fine-tuned version of facebook/opt-1.3b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0536

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: 0.000201
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 128
  • optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 50
  • training_steps: 400

Training results

Training Loss Epoch Step Validation Loss
No log 0.0028 1 1.0241
0.52 0.1379 50 0.1036
0.5061 0.2759 100 0.1104
0.1155 0.4138 150 0.0543
0.3057 0.5517 200 0.0534
0.0765 0.6897 250 0.0592
0.3329 0.8276 300 0.0546
0.0479 0.9655 350 0.0536

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1
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