metadata

license: apache-2.0
base_model: distilbert/distilbert-base-uncased-distilled-squad
tags:
  - generated_from_trainer
model-index:
  - name: distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-optiparam
    results: []

distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-optiparam

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

Loss: 1.0866

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
0.6652	1.0	14619	1.0816
0.6453	2.0	29238	1.0866

Framework versions

Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1