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model_qa – AI Model by Laaleh | AlphaNeural AI
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Laaleh
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model_qa
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transformers
pytorch
bloom
question-answering
generated_from_trainer
squad
bigscience/bloom-1b1
finetune
bigscience-bloom-rail-1.0
text-generation-inference
endpoints_compatible
us
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model_qa
This model is a fine-tuned version of
bigscience/bloom-1b1
on the squad dataset. It achieves the following results on the evaluation set:
Loss: nan
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
3.8092
1.0
1107
nan
2.7211
2.0
2214
nan
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
