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End of training
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metadata
base_model: microsoft/codebert-base
tags:
  - generated_from_trainer
model-index:
  - name: CodeBert-finetuned-the-stack-bash
    results: []

CodeBert-finetuned-the-stack-bash

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

  • Loss: 5.6895

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: 1
  • eval_batch_size: 1
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 4
  • 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
8.1473 0.05 500 7.4270
6.9372 0.1 1000 6.9409
6.167 0.15 1500 6.6749
7.9745 0.2 2000 6.4053
7.2576 0.25 2500 6.2217
6.451 0.3 3000 6.0992
6.3218 0.35 3500 6.0231
6.3115 0.4 4000 6.0302
6.6343 0.45 4500 5.8745
6.1515 0.5 5000 5.8281
6.3992 0.55 5500 5.7614
6.8421 0.6 6000 5.8745
6.0542 0.65 6500 5.7452
5.3206 0.7 7000 5.7668
6.121 0.75 7500 5.6950
6.5956 0.8 8000 5.6926
5.8667 0.85 8500 5.6904
6.0287 0.9 9000 5.6803
5.8417 0.95 9500 5.6747
6.9719 1.0 10000 5.6895

Framework versions

  • Transformers 4.36.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0