metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuned_sentence_itr4_3e-05_all_27_02_2022-18_46_19
    results: []

finetuned_sentence_itr4_3e-05_all_27_02_2022-18_46_19

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: 0.3962
Accuracy: 0.8231
F1: 0.8873

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: 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	0.3591	0.8366	0.8950
No log	2.0	390	0.3558	0.8415	0.9012
0.3647	3.0	585	0.4049	0.8427	0.8983
0.3647	4.0	780	0.5030	0.8378	0.8949
0.3647	5.0	975	0.5719	0.8354	0.8943

Framework versions

Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3