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roberta-tapt-acl-arc – AI Model by Amrendra | AlphaNeural AI
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Amrendra
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roberta-tapt-acl-arc
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transformers
pytorch
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-tapt-acl-arc
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3472
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
89
2.6476
No log
2.0
178
2.7191
No log
3.0
267
2.4195
No log
4.0
356
2.4680
No log
5.0
445
2.3363
2.5791
6.0
534
2.1846
2.5791
7.0
623
2.0593
2.5791
8.0
712
1.9373
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1
