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Gemma-2-2B_task-1_60-samples_config-2

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-1 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3489

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
2.491 0.6957 2 2.2964
2.421 1.7391 5 2.1330
2.0067 2.7826 8 1.7165
1.6227 3.8261 11 1.5108
1.4202 4.8696 14 1.4400
1.3321 5.9130 17 1.3852
1.1652 6.9565 20 1.3695
1.0665 8.0 23 1.3489
0.967 8.6957 25 1.3494
0.8164 9.7391 28 1.3845
0.7346 10.7826 31 1.4393
0.5691 11.8261 34 1.5135
0.4731 12.8696 37 1.6298
0.3309 13.9130 40 1.8103
0.2569 14.9565 43 2.0895

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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