sentiment-10Epochs-3 – AI Model by sepidmnorozy | AlphaNeural AI

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sepidmnorozy/
sentiment-10Epochs-3

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sentiment-10Epochs-3

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7703
Accuracy: 0.8568
F1: 0.8526
Precision: 0.8787
Recall: 0.8279

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3637	1.0	7088	0.3830	0.8571	0.8418	0.9429	0.7603
0.37	2.0	14176	0.4128	0.8676	0.8582	0.9242	0.8010
0.325	3.0	21264	0.4656	0.8737	0.8664	0.9189	0.8197
0.2948	4.0	28352	0.4575	0.8703	0.8652	0.9007	0.8324
0.3068	5.0	35440	0.4751	0.8705	0.8653	0.9016	0.8317
0.2945	6.0	42528	0.5509	0.8668	0.8618	0.8956	0.8305
0.2568	7.0	49616	0.6201	0.8632	0.8567	0.8994	0.8178
0.2107	8.0	56704	0.6836	0.8614	0.8576	0.8819	0.8346
0.1966	9.0	63792	0.7030	0.8583	0.8532	0.8848	0.8238
0.1675	10.0	70880	0.7703	0.8568	0.8526	0.8787	0.8279

Framework versions

Transformers 4.18.0
Pytorch 1.10.0
Datasets 2.0.0
Tokenizers 0.11.6