| | --- |
| | license: apache-2.0 |
| | base_model: Afterparty-hf/pretrain-0.924 |
| | tags: |
| | - axolotl |
| | - generated_from_trainer |
| | model-index: |
| | - name: finetune-0.559 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<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) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.4.1` |
| | ```yaml |
| | base_model: Afterparty-hf/pretrain-0.924 |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | |
| | datasets: |
| | - path: Afterparty-hf/synthetic-instruct |
| | type: sharegpt |
| | |
| | |
| | - path: Afterparty-hf/train-format-server |
| | type: sharegpt |
| | |
| | |
| | - path: Afterparty-hf/help-channels-formatted |
| | type: sharegpt |
| | |
| | |
| | - path: Afterparty-hf/constt-augmented |
| | type: sharegpt |
| | |
| | |
| | - path: Afterparty-hf/transcripts-train |
| | type: sharegpt |
| | |
| | |
| | chat_template: chatml |
| | dataset_prepared_path: ./prepath |
| | hub_model_id: Afterparty-hf/finetune-0.559 |
| | wandb_project: ap_publi |
| | hf_use_auth_token: true |
| | |
| | |
| | output_dir: ./finetune-559-a |
| | resume_from_checkpoint: ./finetune-559/checkpoint-1026 |
| | wandb_watch: all |
| | hub_private_repo: true |
| | hub_strategy: all_checkpoints |
| | push_to_hub: false |
| | hf_use_auth_token: true |
| | max_grad_norm: 0.6 |
| | sequence_len: 14256 |
| | sample_packing: true |
| | pad_to_sequence_len: true |
| | micro_batch_size: 1 |
| | gradient_accumulation_steps: 1 |
| | num_epochs: 4 |
| | learning_rate: 0.000004 |
| | optimizer: adamw_bnb_8bit |
| | #optim_args: |
| | # amsgrad: true |
| | lr_scheduler: cosine |
| | train_on_inputs: false |
| | group_by_length: false |
| | bfloat16: false |
| | #bf16: auto |
| | fp16: |
| | tf32: false |
| | neftune_noise_alpha: 2 |
| | gradient_checkpointing: true |
| | gradient_checkpointing_kwargs: |
| | use_reentrant: true |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | #unsloth_lora_mlp: true |
| | #unsloth_lora_qkv: true |
| | #unsloth_lora_o: true |
| | #flash_attn_cross_entropy: true |
| | #flash_attn_rms_norm: true |
| | #flash_attn_fuse_qkv: false |
| | #flash_attn_fuse_mlp: true |
| | warmup_ratio: 0.5 |
| | evals_per_step: 0.025 |
| | eval_table_size: |
| | saves_per_epoch: 5 |
| | debug: |
| | torch_compile: true |
| | rank: |
| | deepspeed: deepspeed_configs/zero2.json |
| | save_safetensors: true |
| | weight_decay: 0.01 |
| | special_tokens: |
| | bos_token: "<s>" |
| | eos_token: "</s>" |
| | unk_token: "<unk>" |
| | pad_token: "</s>" |
| | tokens: # these are delimiters |
| | - "<|im_start|>" |
| | - "<|im_end|>" |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # finetune-0.559 |
| |
|
| | 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. |
| |
|
| | ## 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: 4e-06 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - total_train_batch_size: 8 |
| | - total_eval_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 310 |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.1 |
| | - Pytorch 2.1.2+cu118 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
