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nqaasksciencemodeling – AI Model by cphienanda | AlphaNeural AI
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cphienanda
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nqaasksciencemodeling
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transformers
tensorboard
safetensors
gpt2
text-generation
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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nqaasksciencemodeling
This model is a fine-tuned version of
distilroberta-base
on an unknown 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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
4.2666
1.0
2000
nan
3.6804
2.0
4000
nan
3.0568
3.0
6000
nan
2.9319
4.0
8000
nan
2.6324
5.0
10000
nan
Framework versions
Transformers 4.46.3
Pytorch 1.12.1+cu113
Datasets 3.1.0
Tokenizers 0.20.3
