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Gemma-2-2B_task-3_60-samples_config-1_full_auto

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3_auto dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9570

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: 0.0001
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss
1.3456 0.8696 5 1.3519
1.3545 1.9130 11 1.2756
1.2474 2.9565 17 1.1765
1.1006 4.0 23 1.0925
0.995 4.8696 28 1.0253
0.9268 5.9130 34 0.9853
0.8574 6.9565 40 0.9666
0.8398 8.0 46 0.9581
0.8249 8.8696 51 0.9570
0.8095 9.9130 57 0.9601
0.7215 10.9565 63 0.9763
0.6764 12.0 69 0.9987
0.6692 12.8696 74 1.0207
0.5679 13.9130 80 1.0891
0.5212 14.9565 86 1.1447
0.5149 16.0 92 1.2058

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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