distilrubert-tiny-2ndfinetune-epru – AI Model by mmillet | AlphaNeural AI

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mmillet/
distilrubert-tiny-2ndfinetune-epru

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilrubert-tiny-2ndfinetune-epru

This model is a fine-tuned version of mmillet/distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2085
Accuracy: 0.9333
F1: 0.9319
Precision: 0.9336
Recall: 0.9333

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.4825	1.0	13	0.2988	0.8848	0.8827	0.9056	0.8848
0.2652	2.0	26	0.2435	0.9212	0.9216	0.9282	0.9212
0.168	3.0	39	0.2120	0.9515	0.9501	0.9524	0.9515
0.1593	4.0	52	0.1962	0.9333	0.9330	0.9366	0.9333
0.1294	5.0	65	0.1855	0.9333	0.9334	0.9355	0.9333
0.1065	6.0	78	0.1780	0.9394	0.9393	0.9399	0.9394
0.0908	7.0	91	0.1967	0.9394	0.9388	0.9388	0.9394
0.0432	8.0	104	0.2085	0.9333	0.9319	0.9336	0.9333

Framework versions

Transformers 4.19.3
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1