t5-small-codesearchnet-python3 – AI Model by lmeninato | AlphaNeural AI

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lmeninato/
t5-small-codesearchnet-python3

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-small-codesearchnet-python3

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

Loss: 0.1308
Rouge1: 0.0046
Rouge2: 0.0044
Avg Length: 0.317

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	8.0395	0.1733	0.0997	18.4264
No log	2.0	78	0.3933	0.0	0.0	0.0004
No log	3.0	117	0.2376	0.0	0.0	0.0
No log	3.99	156	0.1693	0.0	0.0	0.0
No log	4.99	195	0.1308	0.0046	0.0044	0.317

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3