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codellama-13b-personal-copilot-fa2
This model is a fine-tuned version of codellama/CodeLlama-13b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3490
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4525 | 0.05 | 100 | 0.4920 |
| 0.4407 | 0.1 | 200 | 0.4350 |
| 0.4153 | 0.15 | 300 | 0.3968 |
| 0.3996 | 0.2 | 400 | 0.3822 |
| 0.4105 | 0.25 | 500 | 0.3801 |
| 0.3469 | 0.3 | 600 | 0.3754 |
| 0.3294 | 0.35 | 700 | 0.3697 |
| 0.3348 | 0.4 | 800 | 0.3651 |
| 0.2806 | 0.45 | 900 | 0.3594 |
| 0.389 | 0.5 | 1000 | 0.3585 |
| 0.2769 | 0.55 | 1100 | 0.3548 |
| 0.32 | 0.6 | 1200 | 0.3512 |
| 0.2963 | 0.65 | 1300 | 0.3509 |
| 0.3098 | 0.7 | 1400 | 0.3502 |
| 0.3232 | 0.75 | 1500 | 0.3490 |
| 0.3164 | 0.8 | 1600 | 0.3480 |
| 0.3455 | 0.85 | 1700 | 0.3487 |
| 0.2732 | 0.9 | 1800 | 0.3489 |
| 0.2431 | 0.95 | 1900 | 0.3491 |
| 0.3327 | 1.0 | 2000 | 0.3490 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
Framework versions
- PEFT 0.6.0.dev0
