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BiLSTM test 1
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metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased-distilled-squad
tags:
  - generated_from_trainer
datasets:
  - srhv2
model-index:
  - name: Distilbert-finetuned-SRHV2
    results: []

Distilbert-finetuned-SRHV2

This model is a fine-tuned version of distilbert/distilbert-base-uncased-distilled-squad on the srhv2 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8417

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: 3e-05
  • train_batch_size: 6
  • eval_batch_size: 60
  • seed: 42
  • 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
No log 1.0 115 1.7873
No log 2.0 230 1.8417

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.4.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1