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roberta-large-amazon-fine-tuned – AI Model by afcarzero1 | AlphaNeural AI
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afcarzero1
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roberta-large-amazon-fine-tuned
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transformers
pytorch
tensorboard
roberta
fill-mask
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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roberta-xlm-finetuned-amazon_conversations
This model is a fine-tuned version of
roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3919
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.6363
1.0
3806
1.5286
1.5033
2.0
7612
1.4314
1.4155
3.0
11418
1.4091
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
