xlm-sentiment-new – AI Model by SiddharthaM | AlphaNeural AI

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SiddharthaM/
xlm-sentiment-new

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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xlm-sentiment-new

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

Loss: 0.6166
Accuracy: 0.7405
Precision: 0.7375
Recall: 0.7405
F1: 0.7386

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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	296	0.5519	0.7310	0.7266	0.7310	0.7277
0.5719	2.0	592	0.5569	0.75	0.7562	0.75	0.7302
0.5719	3.0	888	0.5320	0.7243	0.7269	0.7243	0.7254
0.477	4.0	1184	0.5771	0.7300	0.7264	0.7300	0.7276
0.477	5.0	1480	0.6051	0.7376	0.7361	0.7376	0.7368
0.428	6.0	1776	0.6166	0.7405	0.7375	0.7405	0.7386

Framework versions

Transformers 4.24.0.dev0
Pytorch 1.11.0+cu102
Datasets 2.6.1
Tokenizers 0.13.1