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Rosela/
xlm-r-sentiment-espt

Name: xlm-r-sentiment-espt
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xlm-r-sentiment-espt

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

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The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 128
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 5
mixed_precision_training: Native AMP
label_smoothing_factor: 0.1

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Weighted	F1 Macro
1.0901	1.0	4607	0.8662	0.9191	0.9183	0.8613
1.0708	2.0	9214	0.8603	0.9219	0.9201	0.8621
1.0035	3.0	13821	0.8682	0.9210	0.9201	0.8640
0.9516	4.0	18428	0.8819	0.9201	0.9195	0.8639