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summarize_by_ernie – AI Model by sharmadhruv | AlphaNeural AI
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summarize_by_ernie
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transformers
safetensors
mt5
text2text-generation
generated_from_trainer
ernie-research/ernie-code-560m
finetune
mit
endpoints_compatible
us
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summarize_by_ernie
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: 2.3186
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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
2.7349
1.0
989
2.3506
2.6212
2.0
1978
2.3263
2.6071
3.0
2967
2.3200
2.5826
4.0
3956
2.3185
2.5319
5.0
4945
2.3186
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
