starchat-beta / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: starcoderplus-ift-v41
    results: []

starcoderplus-ift-v41

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

  • Loss: 1.4720

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: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 256
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 6

Training results

Training Loss Epoch Step Validation Loss
1.5321 0.98 15 1.2856
1.2071 1.97 30 1.2620
1.0162 2.95 45 1.2853
0.8484 4.0 61 1.3274
0.6981 4.98 76 1.3994
0.5668 5.9 90 1.4720

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3