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tner-xlm-roberta-base-uncased-all-english-finetuned-cola – AI Model by anamelchor | AlphaNeural AI
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anamelchor
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tner-xlm-roberta-base-uncased-all-english-finetuned-cola
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
tner/xlm-roberta-base-uncased-all-english
finetune
autotrain_compatible
endpoints_compatible
us
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tner-xlm-roberta-base-uncased-all-english-finetuned-cola
This model is a fine-tuned version of
asahi417/tner-xlm-roberta-base-uncased-all-english
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6200
Matthews Correlation: 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
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
No log
1.0
54
0.6200
0.0
No log
2.0
108
0.6192
0.0
No log
3.0
162
0.6176
0.0
No log
4.0
216
0.6183
0.0
No log
5.0
270
0.6190
0.0
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
