DistilBERTFINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False – AI Model by ali2066 | AlphaNeural AI

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ali2066/
DistilBERTFINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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DistilBERTFINAL_ctxSentence_TRAIN_essays_TEST_NULL_second_train_set_null_False

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
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	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