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qa_by_nllb – AI Model by sharmadhruv | AlphaNeural AI
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qa_by_nllb
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transformers
safetensors
mt5
question-answering
generated_from_trainer
ernie-research/ernie-code-560m
finetune
mit
endpoints_compatible
us
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qa_by_nllb
This model is a fine-tuned version of
baidu/ernie-code-560m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4765
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
3.1922
1.0
1000
1.9035
2.0263
2.0
2000
1.4808
1.7036
3.0
3000
1.4765
Framework versions
Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1
