metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
  - precision
  - recall
model-index:
  - name: finetuned_sentence_itr0_2e-05_all_01_03_2022-13_11_55
    results: []

finetuned_sentence_itr0_2e-05_all_01_03_2022-13_11_55

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: 0.6168
Accuracy: 0.8286
F1: 0.8887
Precision: 0.8628
Recall: 0.9162

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: 32
eval_batch_size: 32
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	Precision	Recall
No log	1.0	390	0.3890	0.8110	0.8749	0.8631	0.8871
0.4535	2.0	780	0.3921	0.8439	0.8984	0.8721	0.9264
0.266	3.0	1170	0.4454	0.8415	0.8947	0.8860	0.9034
0.16	4.0	1560	0.5610	0.8427	0.8957	0.8850	0.9067
0.16	5.0	1950	0.6180	0.8488	0.9010	0.8799	0.9231

Framework versions

Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3