G0514HMA23H / README.md
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metadata
license: gemma
base_model: google/gemma-2b
tags:
  - generated_from_trainer
model-index:
  - name: G0514HMA23H
    results: []

G0514HMA23H

This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: -17.8940

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: 0.0003
  • 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: cosine_with_restarts
  • lr_scheduler_warmup_steps: 80
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.8474 0.09 10 -0.1051
-1.133 0.18 20 -2.6746
-4.0726 0.27 30 -5.9791
-7.4096 0.36 40 -9.2948
-10.5075 0.45 50 -12.1604
-13.1872 0.54 60 -14.5712
-15.3198 0.63 70 -16.1577
-16.5601 0.73 80 -17.0062
-17.1749 0.82 90 -17.3669
-17.4459 0.91 100 -17.5280
-17.5636 1.0 110 -17.6099
-17.6344 1.09 120 -17.6593
-17.6708 1.18 130 -17.6865
-17.6958 1.27 140 -17.7099
-17.7175 1.36 150 -17.7283
-17.7369 1.45 160 -17.7437
-17.7549 1.54 170 -17.7646
-17.7752 1.63 180 -17.7824
-17.785 1.72 190 -17.7920
-17.8012 1.81 200 -17.8080
-17.8109 1.9 210 -17.8184
-17.8264 1.99 220 -17.8386
-17.85 2.08 230 -17.8633
-17.8652 2.18 240 -17.8736
-17.8735 2.27 250 -17.8818
-17.8791 2.36 260 -17.8860
-17.8821 2.45 270 -17.8882
-17.8883 2.54 280 -17.8912
-17.891 2.63 290 -17.8924
-17.8909 2.72 300 -17.8933
-17.8886 2.81 310 -17.8938
-17.8926 2.9 320 -17.8939
-17.8924 2.99 330 -17.8940

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.0