metadata

library_name: transformers
license: mit
base_model: cointegrated/rubert-tiny
tags:
  - generated_from_trainer
model-index:
  - name: my_awesome_wnut_model
    results: []

my_awesome_wnut_model

This model is a fine-tuned version of cointegrated/rubert-tiny on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0046
eval_model_preparation_time: 0.0019
eval_precision: 0.9269
eval_recall: 0.9588
eval_f1: 0.9426
eval_accuracy: 0.9987
eval_runtime: 34.5206
eval_samples_per_second: 1417.937
eval_steps_per_second: 88.643
step: 0

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=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0