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metadata
license: openrail
tags:
  - generated_from_trainer
model-index:
  - name: santacoder-finetuned-the-stack-swift
    results: []

santacoder-finetuned-the-stack-swift

This model is a fine-tuned version of bigcode/santacoder on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8353

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: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • training_steps: 10000

Training results

Training Loss Epoch Step Validation Loss
1.1132 0.05 500 1.0496
1.0077 0.1 1000 1.0245
1.0109 0.15 1500 1.0111
1.1106 0.2 2000 1.0025
0.5083 0.25 2500 1.0163
0.2996 0.3 3000 1.0339
1.0745 0.35 3500 0.9682
1.0355 0.4 4000 0.9467
0.9156 0.45 4500 0.9229
0.8834 0.5 5000 0.9199
0.6363 0.55 5500 0.9048
0.8771 0.6 6000 0.8899
1.9208 0.65 6500 0.8727
0.8816 0.7 7000 0.8633
0.8918 0.75 7500 0.8543
0.8714 0.8 8000 0.8454
0.9486 0.85 8500 0.8402
1.0609 0.9 9000 0.8364
0.9124 0.95 9500 0.8356
0.9743 1.0 10000 0.8353

Framework versions

  • Transformers 4.26.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2