sentiment-5Epochs – AI Model by sepidmnorozy | AlphaNeural AI

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sepidmnorozy/
sentiment-5Epochs

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text-classification

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autotrain_compatible

endpoints_compatible

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sentiment-5Epochs

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: 0.4947
Accuracy: 0.8719
F1: 0.8685
Precision: 0.8919
Recall: 0.8463

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.3566	1.0	7088	0.3987	0.8627	0.8505	0.9336	0.7810
0.3468	2.0	14176	0.3861	0.8702	0.8638	0.9085	0.8232
0.335	3.0	21264	0.4421	0.8759	0.8697	0.9154	0.8283
0.3003	4.0	28352	0.4601	0.8754	0.8696	0.9119	0.8311
0.2995	5.0	35440	0.4947	0.8719	0.8685	0.8919	0.8463

Framework versions

Transformers 4.18.0
Pytorch 1.10.0
Datasets 2.0.0
Tokenizers 0.11.6