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MobileBERT-uncased-squad-v1-BiLSTM-finetuned-SRH-optiparam-unfrozen-v2

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metadata
license: mit
base_model: allistair99/MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-optiparam
tags:
  - generated_from_trainer
datasets:
  - srh_test66
model-index:
  - name: MobileBERT-uncased-squad-v1-BiLSTM-finetuned-SRH-optiparam-unfrozen-v2
    results: []

MobileBERT-uncased-squad-v1-BiLSTM-finetuned-SRH-optiparam-unfrozen-v2

This model is a fine-tuned version of allistair99/MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-optiparam on the srh_test66 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3377

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 1.0 114 1.3791
No log 2.0 228 1.3377

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1