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toeic-part-2-distractor-generation-bert-based-uncased – AI Model by Bossixd | AlphaNeural AI
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toeic-part-2-distractor-generation-bert-based-uncased
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transformers
safetensors
encoder-decoder
text2text-generation
generated_from_trainer
endpoints_compatible
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results
This model is a fine-tuned version of
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.3650
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
6.0528
1.71
500
2.0360
Framework versions
Transformers 4.39.3
Pytorch 2.1.0
Datasets 2.18.0
Tokenizers 0.15.2
