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distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-pure2 – AI Model by allistair99 | AlphaNeural AI
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distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-pure2
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transformers
safetensors
distilbert
generated_from_trainer
question-answering
distilbert/distilbert-base-uncased-distilled-squad
finetune
apache-2.0
endpoints_compatible
us
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distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-squad-pure2
This model is a fine-tuned version of
distilbert/distilbert-base-uncased-distilled-squad
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0750
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: 16
eval_batch_size: 16
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
0.6764
1.0
5483
1.0746
0.6618
2.0
10966
1.0799
0.6434
3.0
16449
1.0750
Framework versions
Transformers 4.40.0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
