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--- |
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license: apache-2.0 |
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base_model: Afterparty-hf/pretrain-0.924 |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: finetune-0.559 |
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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: `0.4.1` |
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```yaml |
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base_model: Afterparty-hf/pretrain-0.924 |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: Afterparty-hf/synthetic-instruct |
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type: sharegpt |
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- path: Afterparty-hf/train-format-server |
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type: sharegpt |
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- path: Afterparty-hf/help-channels-formatted |
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type: sharegpt |
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- path: Afterparty-hf/constt-augmented |
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type: sharegpt |
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- path: Afterparty-hf/transcripts-train |
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type: sharegpt |
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chat_template: chatml |
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dataset_prepared_path: ./prepath |
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hub_model_id: Afterparty-hf/finetune-0.559 |
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wandb_project: ap_publi |
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hf_use_auth_token: true |
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output_dir: ./finetune-559-a |
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resume_from_checkpoint: ./finetune-559/checkpoint-1026 |
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wandb_watch: all |
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hub_private_repo: true |
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hub_strategy: all_checkpoints |
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push_to_hub: false |
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hf_use_auth_token: true |
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max_grad_norm: 0.6 |
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sequence_len: 14256 |
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sample_packing: true |
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pad_to_sequence_len: true |
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micro_batch_size: 1 |
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gradient_accumulation_steps: 1 |
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num_epochs: 4 |
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learning_rate: 0.000004 |
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optimizer: adamw_bnb_8bit |
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#optim_args: |
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# amsgrad: true |
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lr_scheduler: cosine |
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train_on_inputs: false |
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group_by_length: false |
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bfloat16: false |
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#bf16: auto |
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fp16: |
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tf32: false |
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neftune_noise_alpha: 2 |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: true |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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#unsloth_lora_mlp: true |
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#unsloth_lora_qkv: true |
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#unsloth_lora_o: true |
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#flash_attn_cross_entropy: true |
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#flash_attn_rms_norm: true |
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#flash_attn_fuse_qkv: false |
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#flash_attn_fuse_mlp: true |
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warmup_ratio: 0.5 |
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evals_per_step: 0.025 |
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eval_table_size: |
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saves_per_epoch: 5 |
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debug: |
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torch_compile: true |
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rank: |
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deepspeed: deepspeed_configs/zero2.json |
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save_safetensors: true |
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weight_decay: 0.01 |
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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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pad_token: "</s>" |
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tokens: # these are delimiters |
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- "<|im_start|>" |
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- "<|im_end|>" |
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``` |
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</details><br> |
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# finetune-0.559 |
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This model is a fine-tuned version of [Afterparty-hf/pretrain-0.924](https://huggingface.co/Afterparty-hf/pretrain-0.924) on the None dataset. |
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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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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 4e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 8 |
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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: 310 |
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- num_epochs: 4 |
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### Training results |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.1.2+cu118 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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