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af9769e7-5e28-44c1-bcba-87b9161ed61e

This model is a fine-tuned version of katuni4ka/tiny-random-falcon-40b on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 10.7443

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: 0.00021
  • 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 0.0016 1 11.1052
43.6411 0.0793 50 10.8379
43.3074 0.1587 100 10.8161
43.2341 0.2380 150 10.7993
43.1969 0.3173 200 10.7885
43.1431 0.3967 250 10.7760
43.1063 0.4760 300 10.7653
43.0422 0.5553 350 10.7560
43.0102 0.6347 400 10.7443

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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