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xlm-roberta-large-finetuned-HC3-mix – AI Model by mrm8488 | AlphaNeural AI
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mrm8488
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xlm-roberta-large-finetuned-HC3-mix
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transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
10.57967/hf/0305
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-finetuned-HC3-mix
This model is a fine-tuned version of
xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6998
F1: 0.0
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6506
1.0
35824
0.6998
0.0
0.6481
2.0
71648
0.7662
0.0
0.6391
3.0
107472
0.7492
0.0
0.6396
4.0
143296
0.7358
0.0
0.6366
5.0
179120
0.7259
0.0
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2
