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metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
  - GaetanMichelet/chat-60_ft_task-3
  - GaetanMichelet/chat-120_ft_task-3
library_name: peft
license: llama3.1
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Llama-31-8B_task-3_120-samples_config-2
    results: []

Llama-31-8B_task-3_120-samples_config-2

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-3 and the GaetanMichelet/chat-120_ft_task-3 datasets. It achieves the following results on the evaluation set:

  • Loss: 0.4302

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
2.4469 0.9091 5 2.3539
1.8346 2.0 11 1.4922
0.7576 2.9091 16 0.7652
0.6409 4.0 22 0.5627
0.4304 4.9091 27 0.5238
0.3624 6.0 33 0.4705
0.3967 6.9091 38 0.4452
0.3293 8.0 44 0.4328
0.2432 8.9091 49 0.4302
0.2102 10.0 55 0.4359
0.2004 10.9091 60 0.4583
0.1634 12.0 66 0.4724
0.1177 12.9091 71 0.5530
0.0376 14.0 77 0.7361
0.0204 14.9091 82 0.7768
0.0118 16.0 88 0.8608

Framework versions

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