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grader_model_roberta – AI Model by stillett | AlphaNeural AI
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stillett
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grader_model_roberta
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
stillett/grader_model_roberta
finetune
mit
autotrain_compatible
endpoints_compatible
us
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grader_model_roberta
This model is a fine-tuned version of
stillett/grader_model_roberta
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.0429
F1: 0.5991
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-06
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.6703
1.0
563
1.0818
0.5919
0.6171
2.0
1126
1.0758
0.5962
0.6515
3.0
1689
1.0458
0.5971
0.6709
4.0
2252
1.0429
0.5991
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
