GaetanMichelet's picture
End of training
c2b613d verified
metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
  - GaetanMichelet/chat-60_ft_task-2
  - GaetanMichelet/chat-120_ft_task-2
  - GaetanMichelet/chat-180_ft_task-2
library_name: peft
license: apache-2.0
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Mistral-7B_task-2_180-samples_config-2
    results: []

Mistral-7B_task-2_180-samples_config-2

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on the GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets. It achieves the following results on the evaluation set:

  • Loss: 0.5403

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
0.8897 0.9412 8 0.8554
0.6578 2.0 17 0.6425
0.6205 2.9412 25 0.5954
0.4973 4.0 34 0.5606
0.4478 4.9412 42 0.5403
0.3946 6.0 51 0.5509
0.3109 6.9412 59 0.5958
0.182 8.0 68 0.6716
0.0682 8.9412 76 0.7787
0.0461 10.0 85 0.9119
0.03 10.9412 93 0.9896
0.0116 12.0 102 1.0825

Framework versions

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