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codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5
ayeshgk/codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5
codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5 is a machine learning model from ayeshgk. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 23, 2024
- Updated
- Jan 24, 2024
- SHA
- dda0073c
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
codet5-small-ft-v8-cpatd-ft-v8-cpat_dv5
This model is a fine-tuned version of ayeshgk/codet5-small-ft-v8-cpatd on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1715
- Rouge1: 86.4622
- Rouge2: 76.541
- Rougel: 85.4053
- Rougelsum: 85.4218
- Gen Len: 13.7143
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 20 | 0.3355 | 82.9142 | 68.2812 | 81.8458 | 81.8291 | 13.3857 |
| No log | 2.0 | 40 | 0.2333 | 84.3779 | 72.1358 | 83.5562 | 83.5825 | 13.3571 |
| No log | 3.0 | 60 | 0.1830 | 86.0988 | 75.5643 | 85.1853 | 85.2291 | 13.6143 |
| No log | 4.0 | 80 | 0.1715 | 86.4622 | 76.541 | 85.4053 | 85.4218 | 13.7143 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 23, 2024
- Updated
- Jan 24, 2024