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feulf
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EvolCodeLlama-7b

PEFT
Safetensors
llama
axolotl
Generated from Trainer
4-bit precision
bitsandbytes
Model card Files
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End of training

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  2. adapter_model.bin +3 -0
README.md ADDED
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ adapter: qlora
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+ lora_model_dir:
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+
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+ sequence_len: 2048
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+ sample_packing: true
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+
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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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+
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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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+
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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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+
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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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+
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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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+
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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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+
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+ </details><br>
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+
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+ # EvolCodeLlama-7b
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+
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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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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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
adapter_model.bin ADDED
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