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metadata
base_model: google/gemma-2-2b-it
datasets:
  - GaetanMichelet/chat-60_ft_task-1
  - GaetanMichelet/chat-120_ft_task-1
  - GaetanMichelet/chat-180_ft_task-1
library_name: peft
license: gemma
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Gemma-2-2B_task-1_180-samples_config-1_full
    results: []

Gemma-2-2B_task-1_180-samples_config-1_full

This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-1, the GaetanMichelet/chat-120_ft_task-1 and the GaetanMichelet/chat-180_ft_task-1 datasets. It achieves the following results on the evaluation set:

  • Loss: 1.0148

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
2.367 1.0 17 2.2712
1.5938 2.0 34 1.5141
1.1165 3.0 51 1.1452
0.957 4.0 68 1.0573
0.9136 5.0 85 1.0238
0.7999 6.0 102 1.0148
0.6625 7.0 119 1.0485
0.5317 8.0 136 1.1846
0.3318 9.0 153 1.4029
0.2543 10.0 170 1.6159
0.183 11.0 187 1.8190
0.1305 12.0 204 1.9711
0.1007 13.0 221 2.0467

Framework versions

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