codellama-7b-openapi-completion-ctx-lvl-fim-doc-split
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: 0.4695
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- training_steps: 1000
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.3757 | 0.1 | 100 | 0.4760 |
0.3548 | 0.2 | 200 | 0.4652 |
0.369 | 0.3 | 300 | 0.4632 |
0.3006 | 0.4 | 400 | 0.4718 |
0.3316 | 0.5 | 500 | 0.4691 |
0.3577 | 0.6 | 600 | 0.4708 |
0.2885 | 0.7 | 700 | 0.4738 |
0.3365 | 0.8 | 800 | 0.4741 |
0.2498 | 0.9 | 900 | 0.4740 |
0.2992 | 1.0 | 1000 | 0.4695 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for BohdanPetryshyn/codellama-7b-openapi-completion-ctx-lvl-fim-doc-split
Base model
codellama/CodeLlama-7b-hf