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--- |
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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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- text-generation-inference |
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base_model: meta-llama/Llama-2-7b-hf |
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model-index: |
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- name: logic_magazine_jsonl |
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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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# Image: winglian/axolotl:main-py3.10-cu118-2.0.1 |
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base_model: meta-llama/Llama-2-7b-hf |
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base_model_config: meta-llama/Llama-2-7b-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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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: bentarnoff/logic_magazine_jsonl |
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type: sharegpt |
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hub_model_id: bentarnoff/logic_magazine_jsonl |
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val_set_size: 0.01 |
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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: 4096 |
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sample_packing: false |
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pad_to_sequence_len: 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: "logic_magazine" |
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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: "checkpoint" |
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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: 10 |
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eval_steps: 20 |
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eval_table_size: 5 |
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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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# logic_magazine_jsonl |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3642 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- total_eval_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: 10 |
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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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| 2.3553 | 0.15 | 20 | 2.4167 | |
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| 2.2767 | 0.31 | 40 | 2.3869 | |
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| 2.2854 | 0.46 | 60 | 2.3658 | |
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| 2.2849 | 0.61 | 80 | 2.3470 | |
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| 2.353 | 0.76 | 100 | 2.3337 | |
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| 2.2412 | 0.92 | 120 | 2.3363 | |
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| 2.1992 | 1.07 | 140 | 2.3240 | |
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| 2.1069 | 1.22 | 160 | 2.3404 | |
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| 2.2444 | 1.37 | 180 | 2.3403 | |
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| 2.1424 | 1.53 | 200 | 2.3446 | |
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| 2.1739 | 1.68 | 220 | 2.3404 | |
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| 2.1423 | 1.83 | 240 | 2.3382 | |
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| 2.1721 | 1.98 | 260 | 2.3378 | |
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| 2.1621 | 2.14 | 280 | 2.3630 | |
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| 2.0394 | 2.29 | 300 | 2.3623 | |
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| 2.0631 | 2.44 | 320 | 2.3665 | |
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| 2.0234 | 2.6 | 340 | 2.3632 | |
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| 2.1042 | 2.75 | 360 | 2.3654 | |
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| 2.02 | 2.9 | 380 | 2.3642 | |
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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 |
