flan-t5-base-codesearchnet-python3 – AI Model by lmeninato | AlphaNeural AI

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lmeninato/
flan-t5-base-codesearchnet-python3

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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flan-t5-base-codesearchnet-python3

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0641
Rouge1: 0.6352
Rouge2: 0.6162
Avg Length: 16.995

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
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	Rouge1	Rouge2	Avg Length
No log	1.0	39	23.1723	0.226	0.1296	18.7624
No log	2.0	78	2.9425	0.0041	0.0022	0.5596
No log	3.0	117	0.2351	0.0	0.0	0.0016
No log	3.99	156	0.0719	0.6245	0.6058	17.041
No log	4.99	195	0.0641	0.6352	0.6162	16.995

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3