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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - becasv2
model-index:
  - name: distilbert-base-uncased-becas-4
    results: []

distilbert-base-uncased-becas-4

This model is a fine-tuned version of distilbert-base-uncased on the becasv2 dataset. It achieves the following results on the evaluation set:

  • Loss: 4.7546

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: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 8 5.1392
No log 2.0 16 4.4811
No log 3.0 24 4.0169
No log 4.0 32 3.8533
No log 5.0 40 3.7860
No log 6.0 48 4.0378
No log 7.0 56 4.3794
No log 8.0 64 4.4559
No log 9.0 72 4.7100
No log 10.0 80 4.7546

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1