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distemist_rigoberta_model – AI Model by Irisba | AlphaNeural AI
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Irisba
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distemist_rigoberta_model
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transformers
safetensors
xlm-roberta
token-classification
generated_from_trainer
IIC/RigoBERTa-Clinical
finetune
other
endpoints_compatible
us
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distemist_rigoberta_model
This model is a fine-tuned version of
IIC/RigoBERTa-Clinical
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1222
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
94
0.1397
No log
2.0
188
0.1147
No log
3.0
282
0.1222
Framework versions
Transformers 5.0.0
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
