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dar-ai_emotions – AI Model by macostaplata | AlphaNeural AI
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macostaplata
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dar-ai_emotions
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transformers
safetensors
xlm-roberta
text-classification
simplification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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dar-ai_emotions
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2181
Precision: 0.9316
Recall: 0.9275
F1: 0.9284
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
0.4349
1.0
1000
0.2899
0.9129
0.9045
0.9059
0.2468
2.0
2000
0.2258
0.9368
0.9305
0.9318
0.1648
3.0
3000
0.2181
0.9316
0.9275
0.9284
Framework versions
Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
