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ali2066/DistilBERTFINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False

sourceHugging Faceupdated 4y agoView on Hugging Face

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DistilBERTFINALctxSentenceTRAINessaysTESTNULLsecondtrainsetnullFalse

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base on the None dataset. It achieves the following results on the evaluation set:

—Loss: 0.7680
—Precision: 0.9838
—Recall: 0.6632
—F1: 0.7923
—Accuracy: 0.6624

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: 1e-05
—trainbatchsize: 32
—evalbatchsize: 32
—seed: 42
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	130	0.2980	0.9315	0.9533	0.9423	0.9081
No log	2.0	260	0.2053	0.9537	0.9626	0.9581	0.9338
No log	3.0	390	0.1873	0.9464	0.9907	0.9680	0.9485
0.3064	4.0	520	0.1811	0.9585	0.9720	0.9652	0.9449
0.3064	5.0	650	0.1887	0.9587	0.9766	0.9676	0.9485

Framework versions

—Transformers 4.15.0
—Pytorch 1.10.1+cu113
—Datasets 1.18.0
—Tokenizers 0.10.3