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roberta-mlm-model-v2.0 – AI Model by Kudod | AlphaNeural AI
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roberta-mlm-model-v2.0
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transformers
safetensors
roberta
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
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roberta-mlm-model-v2.0
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 8.4338
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
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
lr_scheduler_warmup_steps: 1000
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.843
0.8315
10000
3.5701
3.1692
1.6631
20000
2.9912
7.9502
2.4946
30000
15.9249
7.9357
3.3261
40000
11.0789
7.9288
4.1577
50000
8.4193
7.9244
4.9892
60000
8.4338
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
