metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: distilbert-base-uncased
model-index:
  - name: model_23
    results: []

model_23

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

eval_loss: 0.6307
eval_accuracy: 0.7747
eval_precision: 0.7743
eval_recall: 0.7747
eval_f1: 0.7743
eval_runtime: 41.9194
eval_samples_per_second: 292.108
eval_steps_per_second: 18.273
epoch: 4.0
step: 12248

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 20
mixed_precision_training: Native AMP
label_smoothing_factor: 0.03

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1