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output_dir_train_on_subset – AI Model by LGLT | AlphaNeural AI
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output_dir_train_on_subset
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
xtreme
FacebookAI/xlm-roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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output_dir_train_on_subset
This model is a fine-tuned version of
xlm-roberta-base
on the xtreme dataset. It achieves the following results on the evaluation set:
Loss: 0.4571
F1: 0.7048
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.8816
1.0
295
0.5474
0.5668
0.4609
2.0
590
0.4571
0.7048
Framework versions
Transformers 4.32.1
Pytorch 2.1.2+cu121
Datasets 2.12.0
Tokenizers 0.13.2
