metadata

library_name: transformers
license: mit
base_model: microsoft/deberta-large
tags:
  - generated_from_trainer
model-index:
  - name: deberta-final
    results: []

deberta-final

This model is a fine-tuned version of microsoft/deberta-large on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4335
eval_accuracy: 0.8762
eval_f1: 0.8762
eval_runtime: 1227.0064
eval_samples_per_second: 85.273
eval_steps_per_second: 2.843
epoch: 2.6816
step: 26500

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: 30
eval_batch_size: 30
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 60
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 600
num_epochs: 7
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1