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ct2fast-starchat-alpha / TRAINER_README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: starcoder-ift
    results: []

starcoder-ift

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

  • Loss: 1.4943

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: 2
  • eval_batch_size: 2
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
1.6668 0.99 65 1.6167
1.3584 2.0 131 1.5126
1.0949 2.98 195 1.4943

Framework versions

  • Transformers 4.28.1
  • Pytorch 1.13.1+cu117
  • Datasets 2.12.0
  • Tokenizers 0.13.3