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xlm-roberta-base-finetuned-wol – AI Model by vonewman | AlphaNeural AI
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xlm-roberta-base-finetuned-wol
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transformers
pytorch
safetensors
xlm-roberta
token-classification
generated_from_trainer
masakhaner2
FacebookAI/xlm-roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned-wol
This model is a fine-tuned version of
xlm-roberta-base
on the masakhaner2 dataset. It achieves the following results on the evaluation set:
Loss: 0.0734
F1: 0.7819
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: 5e-05
train_batch_size: 48
eval_batch_size: 48
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
96
0.1055
0.6577
0.1995
2.0
192
0.0785
0.7488
0.1995
3.0
288
0.0734
0.7819
Framework versions
Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
