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roberta-xlm-finetuned-amazon_conversations – AI Model by afcarzero1 | AlphaNeural AI
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afcarzero1
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roberta-xlm-finetuned-amazon_conversations
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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: 1.5474
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
1.8672
1.0
3434
1.6983
1.6992
2.0
6868
1.6200
1.6122
3.0
10302
1.5589
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
