codellama-7b-openapi-completion-ctx-lvl-fim-no-spm-inf-seq-5120-r-64
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: 0.4803
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: 0.05
- training_steps: 1000
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.4599 | 0.1 | 100 | 0.4571 |
0.3499 | 0.2 | 200 | 0.4590 |
0.3254 | 0.3 | 300 | 0.4614 |
0.3514 | 0.4 | 400 | 0.4642 |
0.2691 | 0.5 | 500 | 0.4728 |
0.2994 | 0.6 | 600 | 0.4722 |
0.3231 | 0.7 | 700 | 0.4711 |
0.329 | 0.8 | 800 | 0.4801 |
0.2596 | 0.9 | 900 | 0.4805 |
0.247 | 1.0 | 1000 | 0.4803 |
Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.41.0.dev0
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for BohdanPetryshyn/codellama-7b-openapi-completion-ctx-lvl-fim-no-spm-inf-seq-5120-r-64
Base model
codellama/CodeLlama-7b-hf