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xlmroberta_clir_all_eng_val_kin – AI Model by Shijia | AlphaNeural AI
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Shijia
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xlmroberta_clir_all_eng_val_kin
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlmroberta_clir_all_eng_val_kin
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0931
Spearman Corr: 0.4035
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: 32
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Spearman Corr
No log
1.0
258
0.0414
0.4662
0.039
2.0
516
0.0519
0.4431
0.039
3.0
774
0.0481
0.4216
0.0177
4.0
1032
0.0931
0.4035
Framework versions
Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
