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llama2-2t-asstop1-lr2-e5-cos-ep3-instruct-v4

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4769

Too many warmup steps as a result loss did not go down much. This model is suboptimal.

Training Script

https://github.com/habanoz/llm-sft/

Training Setup

Trained on Sagemaker ml.g5.xlarge for 1 hour(s), 43 minute(s), and 30 second(s).

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: 2e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 100
  • training_steps: 0

Training results

Training Loss Epoch Step Validation Loss
1.6795 1.0 202 1.5372
1.5387 2.0 404 1.4769

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.0.0
  • Datasets 2.12.0
  • Tokenizers 0.15.0
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