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Gemma-2-2B_task-3_60-samples_config-2_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: 0.4006

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: 16
  • total_train_batch_size: 16
  • 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
3.072 0.6957 2 3.0875
3.0765 1.7391 5 2.5635
2.0933 2.7826 8 1.4153
1.2307 3.8261 11 0.7854
0.5656 4.8696 14 0.5590
0.5325 5.9130 17 0.4852
0.4027 6.9565 20 0.4474
0.2861 8.0 23 0.4358
0.3766 8.6957 25 0.4268
0.291 9.7391 28 0.4162
0.2706 10.7826 31 0.4064
0.2037 11.8261 34 0.4027
0.2057 12.8696 37 0.4006
0.1402 13.9130 40 0.4081
0.1817 14.9565 43 0.4246
0.119 16.0 46 0.4514
0.1067 16.6957 48 0.4775
0.0954 17.7391 51 0.5345
0.0553 18.7826 54 0.5770
0.0604 19.8261 57 0.6300

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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