tinyllama-instruct / README.md
tcarwash's picture
tcarwash/tinyllama-instruct
9bd772f verified
|
raw
history blame
1.72 kB
metadata
license: apache-2.0
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: PY007/TinyLlama-1.1B-step-50K-105b
datasets:
  - generator
model-index:
  - name: mistral_instruct_generation
    results: []

mistral_instruct_generation

This model is a fine-tuned version of PY007/TinyLlama-1.1B-step-50K-105b on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4544

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
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 0.03
  • training_steps: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.8114 0.1504 20 1.6254
1.7672 0.3008 40 1.5598
1.7203 0.4511 60 1.5108
1.6804 0.6015 80 1.4726
1.6322 0.7519 100 1.4544

Framework versions

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