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
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