tinyllama_instruct / README.md
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metadata
license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: tinyllama/tinyllama-1.1b-intermediate-step-1431k-3t
datasets:
  - generator
model-index:
  - name: tinyllama_instruct
    results: []

tinyllama_instruct

This model is a fine-tuned version of tinyllama/tinyllama-1.1b-intermediate-step-1431k-3t on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3383

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: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 300

Training results

Training Loss Epoch Step Validation Loss
1.4051 0.0704 300 1.3383

Framework versions

  • PEFT 0.10.0
  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1