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constrative_faiss_new – AI Model by HuyTran1301 | AlphaNeural AI
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constrative_faiss_new
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
Salesforce/codet5p-220m
finetune
bsd-3-clause
text-generation-inference
endpoints_compatible
us
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constrative_faiss_new
This model is a fine-tuned version of
Salesforce/codet5p-220m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.5192
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: 24
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 768
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
1
5.2122
No log
2.0
2
4.2870
No log
3.0
3
3.9122
No log
4.0
4
3.7032
No log
5.0
5
3.5843
No log
6.0
6
3.5342
No log
7.0
7
3.5234
No log
8.0
8
3.5192
Framework versions
Transformers 4.55.4
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4
