metadata

base_model: squeezebert/squeezebert-uncased
tags:
  - generated_from_trainer
model-index:
  - name: squeezebert-uncased-finetuned-squad-v2
    results: []

squeezebert-uncased-finetuned-squad-v2

This model is a fine-tuned version of squeezebert/squeezebert-uncased on an unknown 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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 658.77
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2