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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- axolotl |
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- generated_from_trainer |
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base_model: codellama/CodeLlama-7b-hf |
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model-index: |
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- name: EvolCodeLlama-7b |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.3.0` |
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```yaml |
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base_model: codellama/CodeLlama-7b-hf |
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base_model_config: codellama/CodeLlama-7b-hf |
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model_type: LlamaForCausalLM |
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tokenizer_type: LlamaTokenizer |
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is_llama_derived_model: true |
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hub_model_id: EvolCodeLlama-7b |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: mlabonne/Evol-Instruct-Python-1k |
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type: alpaca |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.02 |
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output_dir: ./qlora-out |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 2048 |
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sample_packing: true |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_modules: |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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wandb_project: axolotl |
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wandb_entity: |
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wandb_watch: |
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wandb_run_id: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 3 |
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optimizer: paged_adamw_32bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: true |
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fp16: false |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_steps: 100 |
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eval_steps: 0.01 |
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save_strategy: epoch |
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save_steps: |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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bos_token: "<s>" |
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eos_token: "</s>" |
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unk_token: "<unk>" |
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``` |
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</details><br> |
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# EvolCodeLlama-7b |
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This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3797 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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The following `bitsandbytes` quantization config was used during training: |
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- quant_method: bitsandbytes |
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- load_in_8bit: False |
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- load_in_4bit: True |
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- llm_int8_threshold: 6.0 |
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- llm_int8_skip_modules: None |
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- llm_int8_enable_fp32_cpu_offload: False |
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- llm_int8_has_fp16_weight: False |
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- bnb_4bit_quant_type: nf4 |
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- bnb_4bit_use_double_quant: True |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3472 | 0.01 | 1 | 0.4986 | |
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| 0.3139 | 0.03 | 4 | 0.4985 | |
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| 0.2981 | 0.07 | 8 | 0.4983 | |
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| 0.4311 | 0.1 | 12 | 0.4979 | |
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| 0.3958 | 0.14 | 16 | 0.4960 | |
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| 0.335 | 0.17 | 20 | 0.4915 | |
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| 0.4286 | 0.2 | 24 | 0.4808 | |
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| 0.4011 | 0.24 | 28 | 0.4629 | |
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| 0.3269 | 0.27 | 32 | 0.4445 | |
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| 0.2559 | 0.31 | 36 | 0.4284 | |
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| 0.3786 | 0.34 | 40 | 0.4174 | |
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| 0.2967 | 0.37 | 44 | 0.4107 | |
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| 0.2677 | 0.41 | 48 | 0.4027 | |
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| 0.2455 | 0.44 | 52 | 0.3959 | |
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| 0.3267 | 0.47 | 56 | 0.3916 | |
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| 0.2902 | 0.51 | 60 | 0.3882 | |
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| 0.1845 | 0.54 | 64 | 0.3878 | |
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| 0.2593 | 0.58 | 68 | 0.3869 | |
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| 0.3104 | 0.61 | 72 | 0.3836 | |
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| 0.3799 | 0.64 | 76 | 0.3819 | |
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| 0.2059 | 0.68 | 80 | 0.3794 | |
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| 0.3177 | 0.71 | 84 | 0.3792 | |
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| 0.2307 | 0.75 | 88 | 0.3768 | |
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| 0.282 | 0.78 | 92 | 0.3749 | |
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| 0.2713 | 0.81 | 96 | 0.3738 | |
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| 0.2948 | 0.85 | 100 | 0.3725 | |
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| 0.2311 | 0.88 | 104 | 0.3713 | |
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| 0.2516 | 0.92 | 108 | 0.3716 | |
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| 0.2462 | 0.95 | 112 | 0.3715 | |
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| 0.2035 | 0.98 | 116 | 0.3711 | |
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| 0.2638 | 1.02 | 120 | 0.3712 | |
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| 0.2477 | 1.05 | 124 | 0.3726 | |
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| 0.1986 | 1.08 | 128 | 0.3682 | |
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| 0.2292 | 1.12 | 132 | 0.3671 | |
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| 0.1549 | 1.15 | 136 | 0.3680 | |
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| 0.1953 | 1.19 | 140 | 0.3683 | |
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| 0.224 | 1.22 | 144 | 0.3671 | |
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| 0.1941 | 1.25 | 148 | 0.3687 | |
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| 0.2234 | 1.29 | 152 | 0.3709 | |
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| 0.2659 | 1.32 | 156 | 0.3700 | |
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| 0.2535 | 1.36 | 160 | 0.3689 | |
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| 0.2115 | 1.39 | 164 | 0.3683 | |
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| 0.2481 | 1.42 | 168 | 0.3693 | |
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| 0.2101 | 1.46 | 172 | 0.3699 | |
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| 0.228 | 1.49 | 176 | 0.3697 | |
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| 0.3159 | 1.53 | 180 | 0.3680 | |
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| 0.2257 | 1.56 | 184 | 0.3664 | |
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| 0.1684 | 1.59 | 188 | 0.3670 | |
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| 0.2277 | 1.63 | 192 | 0.3663 | |
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| 0.2787 | 1.66 | 196 | 0.3668 | |
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| 0.2284 | 1.69 | 200 | 0.3654 | |
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| 0.2789 | 1.73 | 204 | 0.3640 | |
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| 0.2089 | 1.76 | 208 | 0.3632 | |
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| 0.3387 | 1.8 | 212 | 0.3633 | |
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| 0.2677 | 1.83 | 216 | 0.3610 | |
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| 0.2684 | 1.86 | 220 | 0.3609 | |
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| 0.2458 | 1.9 | 224 | 0.3610 | |
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| 0.2808 | 1.93 | 228 | 0.3602 | |
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| 0.2895 | 1.97 | 232 | 0.3596 | |
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| 0.323 | 2.0 | 236 | 0.3591 | |
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| 0.2105 | 2.03 | 240 | 0.3623 | |
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| 0.1911 | 2.07 | 244 | 0.3720 | |
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| 0.2888 | 2.1 | 248 | 0.3802 | |
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| 0.1958 | 2.13 | 252 | 0.3748 | |
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| 0.1785 | 2.17 | 256 | 0.3701 | |
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| 0.2604 | 2.2 | 260 | 0.3709 | |
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| 0.2212 | 2.24 | 264 | 0.3737 | |
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| 0.1996 | 2.27 | 268 | 0.3772 | |
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| 0.1567 | 2.3 | 272 | 0.3778 | |
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| 0.1777 | 2.34 | 276 | 0.3778 | |
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| 0.2642 | 2.37 | 280 | 0.3785 | |
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| 0.1907 | 2.4 | 284 | 0.3796 | |
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| 0.1637 | 2.44 | 288 | 0.3785 | |
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| 0.1778 | 2.47 | 292 | 0.3785 | |
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| 0.144 | 2.51 | 296 | 0.3789 | |
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| 0.1758 | 2.54 | 300 | 0.3788 | |
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| 0.2018 | 2.57 | 304 | 0.3784 | |
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| 0.3126 | 2.61 | 308 | 0.3783 | |
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| 0.1623 | 2.64 | 312 | 0.3790 | |
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| 0.223 | 2.68 | 316 | 0.3798 | |
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| 0.2109 | 2.71 | 320 | 0.3797 | |
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| 0.1606 | 2.74 | 324 | 0.3797 | |
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| 0.2226 | 2.78 | 328 | 0.3796 | |
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| 0.2068 | 2.81 | 332 | 0.3798 | |
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| 0.1547 | 2.85 | 336 | 0.3797 | |
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| 0.2513 | 2.88 | 340 | 0.3796 | |
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| 0.2688 | 2.91 | 344 | 0.3797 | |
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| 0.1481 | 2.95 | 348 | 0.3796 | |
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| 0.1443 | 2.98 | 352 | 0.3797 | |
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### Framework versions |
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- PEFT 0.7.0 |
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- Transformers 4.37.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
