metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuned_sentence_itr0_2e-05_all_26_02_2022-03_57_45
    results: []

finetuned_sentence_itr0_2e-05_all_26_02_2022-03_57_45

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: 0.4345
Accuracy: 0.8321
F1: 0.8904

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: 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	195	0.3922	0.8061	0.8747
No log	2.0	390	0.3764	0.8171	0.8837
0.4074	3.0	585	0.3873	0.8220	0.8843
0.4074	4.0	780	0.4361	0.8232	0.8854
0.4074	5.0	975	0.4555	0.8159	0.8793

Framework versions

Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3