Mistral-7B_task-1_180-samples_config-2_full

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 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: 0.9159

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
1.9695 0.9412 8 1.8462
1.4658 2.0 17 1.3229
1.0873 2.9412 25 1.0281
0.8963 4.0 34 0.9578
0.8173 4.9412 42 0.9242
0.7207 6.0 51 0.9159
0.5468 6.9412 59 0.9483
0.4071 8.0 68 1.0524
0.2885 8.9412 76 1.2125
0.2064 10.0 85 1.2909
0.1585 10.9412 93 1.3461
0.125 12.0 102 1.3770
0.1121 12.9412 110 1.4892

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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