GaetanMichelet's picture
End of training
d93a6fa verified
metadata
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
  - GaetanMichelet/chat-60_ft_task-1
  - GaetanMichelet/chat-120_ft_task-1
library_name: peft
license: apache-2.0
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Mistral-7B_task-1_120-samples_config-2_full
    results: []

Mistral-7B_task-1_120-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 and the GaetanMichelet/chat-120_ft_task-1 datasets. It achieves the following results on the evaluation set:

  • Loss: 0.9301

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
2.0764 0.9091 5 1.9517
1.7328 2.0 11 1.5258
1.2472 2.9091 16 1.1678
0.979 4.0 22 0.9953
0.909 4.9091 27 0.9437
0.7945 6.0 33 0.9338
0.6672 6.9091 38 0.9301
0.5517 8.0 44 0.9630
0.411 8.9091 49 1.0645
0.296 10.0 55 1.1561
0.2302 10.9091 60 1.3206
0.1752 12.0 66 1.3892
0.1498 12.9091 71 1.3749
0.1138 14.0 77 1.4865

Framework versions

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