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tinyllama-1.1b-sum-sft-qlora

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metadata
license: apache-2.0
library_name: peft
tags:
  - alignment-handbook
  - trl
  - sft
  - generated_from_trainer
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
datasets:
  - martimfasantos/openai-tldr-filtered
model-index:
  - name: tinyllama-1.1b-sum-sft-qlora
    results: []

tinyllama-1.1b-sum-sft-qlora

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the martimfasantos/openai-tldr-filtered dataset. It achieves the following results on the evaluation set:

  • Loss: 2.1479

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 2
  • 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: 4

Training results

Training Loss Epoch Step Validation Loss
2.1066 1.0 10792 2.1614
2.144 2.0 21584 2.1491
2.1212 3.0 32376 2.1476
2.0543 4.0 43168 2.1479

Framework versions

  • PEFT 0.7.1
  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2