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bert_sp_updown – AI Model by ammonbro | AlphaNeural AI
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bert_sp_updown
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transformers
safetensors
bert-generation
text-generation
generated_from_trainer
google/bert_for_seq_generation_L-24_bbc_encoder
finetune
autotrain_compatible
endpoints_compatible
us
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bert_sp_updown
This model is a fine-tuned version of
google/bert_for_seq_generation_L-24_bbc_encoder
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0001
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
Training results
Training Loss
Epoch
Step
Validation Loss
0.0033
1.0
1429
0.0000
0.0005
2.0
2858
0.0000
0.0067
3.0
4287
0.0001
Framework versions
Transformers 4.45.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.1