metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuned_sentence_itr0_0.0002_webDiscourse_27_02_2022-19_25_06
    results: []

finetuned_sentence_itr0_0.0002_webDiscourse_27_02_2022-19_25_06

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5777
Accuracy: 0.6794
F1: 0.5010

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: 0.0002
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	48	0.6059	0.63	0.4932
No log	2.0	96	0.6327	0.705	0.5630
No log	3.0	144	0.7003	0.695	0.5197
No log	4.0	192	0.9368	0.69	0.4655
No log	5.0	240	1.1935	0.685	0.4425

Framework versions

Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3