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Gemma-2-2B_task-2_120-samples_config-2_full

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-2 and the GaetanMichelet/chat-120_ft_task-2 datasets. It achieves the following results on the evaluation set:

  • Loss: 0.8742

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
1.356 0.9091 5 1.3237
1.3153 2.0 11 1.2306
1.1344 2.9091 16 1.1313
1.0582 4.0 22 1.0518
0.9757 4.9091 27 0.9752
0.8903 6.0 33 0.9265
0.8676 6.9091 38 0.9079
0.8368 8.0 44 0.8935
0.8107 8.9091 49 0.8845
0.8061 10.0 55 0.8781
0.7712 10.9091 60 0.8747
0.747 12.0 66 0.8742
0.7182 12.9091 71 0.8779
0.7025 14.0 77 0.8851
0.626 14.9091 82 0.8947
0.633 16.0 88 0.9076
0.583 16.9091 93 0.9299
0.5357 18.0 99 0.9467
0.5232 18.9091 104 0.9674

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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