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reduced_ast_method2test-codegen-350M_v1 – AI Model by Minata | AlphaNeural AI
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Minata
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reduced_ast_method2test-codegen-350M_v1
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transformers
tensorboard
safetensors
codegen
text-generation
generated_from_trainer
Salesforce/codegen-350M-mono
finetune
bsd-3-clause
autotrain_compatible
endpoints_compatible
us
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reduced_ast_method2test-codegen-350M_v1
This model is a fine-tuned version of
Salesforce/codegen-350M-mono
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7188
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-06
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
1.0757
1.0
552
0.7995
0.6901
2.0
1104
0.7188
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
