metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: finetuned_sentence_itr0_0.0002_essays_27_02_2022-19_33_10
    results: []

finetuned_sentence_itr0_0.0002_essays_27_02_2022-19_33_10

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: 0.3358
Accuracy: 0.8688
F1: 0.9225

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	81	0.4116	0.8382	0.9027
No log	2.0	162	0.4360	0.8382	0.8952
No log	3.0	243	0.5719	0.8382	0.8995
No log	4.0	324	0.7251	0.8493	0.9021
No log	5.0	405	0.8384	0.8456	0.9019

Framework versions

Transformers 4.15.0
Pytorch 1.10.1+cu113
Datasets 1.18.0
Tokenizers 0.10.3