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finetuning-sentiment-model-spanish – AI Model by lonelyalpaca | AlphaNeural AI
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lonelyalpaca
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finetuning-sentiment-model-spanish
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
lonelyalpaca/finetuning-sentiment-model
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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finetuning-sentiment-model-spanish
This model is a fine-tuned version of
lonelyalpaca/finetuning-sentiment-model
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1337
Accuracy: 0.9482
F1: 0.9483
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: 16
eval_batch_size: 8
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.1632
0.4486
1000
0.1624
0.9414
0.9295
0.1361
0.8973
2000
0.1254
0.9453
0.9356
0.116
1.3459
3000
0.1451
0.9463
0.9438
0.1175
1.7945
4000
0.1337
0.9482
0.9483
Framework versions
Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 3.6.0
Tokenizers 0.22.1
