metadata

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

stt_Huggin_face_tech_new_data

This model is a fine-tuned version of distilbert/distilbert-base-uncased-distilled-squad on the None dataset.

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: 0.002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1