Jason Lee
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metadata
license: apache-2.0
base_model: TinyLlama/TinyLlama_v1.1
tags:
  - random_select
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: TeacherData_llama3-8b-instruct_TinyLlama_v1.1_time202408041800
    results: []

Visualize in Weights & Biases

TeacherData_llama3-8b-instruct_TinyLlama_v1.1_time202408041800

This model is a fine-tuned version of TinyLlama/TinyLlama_v1.1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7124

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
0.7256 0.6612 100 0.7124

Framework versions

  • Transformers 4.43.2
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1