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metadata
license: bigcode-openrail-m
tags:
  - generated_from_trainer
model-index:
  - name: starcoder-ft-alpaca-es-v3
    results: []

starcoder-ft-alpaca-es-v3

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

  • Loss: nan

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: 0.0003
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
1.0117 0.27 200 0.9912
1.0515 0.55 400 1.0008
1.0981 0.82 600 1.0197
657.1807 1.1 800 nan
2927.9309 1.37 1000 nan
409.511 1.64 1200 nan
593.4789 1.92 1400 nan

Framework versions

  • Transformers 4.30.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3