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code-llama-sparql
alexandrualexandru/code-llama-sparql
code-llama-sparql is a machine learning model from alexandrualexandru. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jun 5, 2024
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At a glance
- License
- llama2
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- f60bc5cb
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. -->
code-llama-sparql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1965
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 400
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.595 | 0.6452 | 20 | 1.4627 |
| 1.045 | 1.2903 | 40 | 0.8255 |
| 0.4681 | 1.9355 | 60 | 0.5047 |
| 0.4022 | 2.5806 | 80 | 0.4470 |
| 0.3568 | 3.2258 | 100 | 0.4118 |
| 0.3274 | 3.8710 | 120 | 0.3768 |
| 0.2955 | 4.5161 | 140 | 0.3576 |
| 0.2786 | 5.1613 | 160 | 0.3408 |
| 0.2778 | 5.8065 | 180 | 0.3174 |
| 0.2247 | 6.4516 | 200 | 0.2986 |
| 0.2201 | 7.0968 | 220 | 0.2766 |
| 0.2232 | 7.7419 | 240 | 0.2628 |
| 0.1917 | 8.3871 | 260 | 0.2500 |
| 0.196 | 9.0323 | 280 | 0.2391 |
| 0.1738 | 9.6774 | 300 | 0.2260 |
| 0.1612 | 10.3226 | 320 | 0.2140 |
| 0.1556 | 10.9677 | 340 | 0.2082 |
| 0.1458 | 11.6129 | 360 | 0.2033 |
| 0.142 | 12.2581 | 380 | 0.1973 |
| 0.1383 | 12.9032 | 400 | 0.1965 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.10.1
- Tokenizers 0.19.1
- License
- llama2
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024