metadata

license: apache-2.0
base_model: Twitter/twhin-bert-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: financial-twhin-bert-large-3labels-pesudo
    results: []

financial-twhin-bert-large-3labels-pesudo

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

Loss: 0.5193
Accuracy: 0.8646
F1: 0.8689

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: 2.6487905492726217e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2072	1.0	2908	0.5193	0.8646	0.8689
0.1429	2.0	5816	0.5204	0.8890	0.8903
0.1062	3.0	8724	0.5502	0.8862	0.8881

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2