adapter readme

README.md

@@ -3,176 +3,16 @@ license: other
 library_name: peft
 tags:
 - axolotl
-- generated_from_trainer
 base_model: Qwen/Qwen1.5-32B
-model-index:
-- name: Einstein-v4-Qwen-1.5-32B
-  results: []
 ---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/l9tUquGV3mprrh9nzRpon.png)
 
-<!-- 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: `0.4.0`
-```yaml
-base_model: Qwen/Qwen1.5-32B
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-
-load_in_8bit: false
-load_in_4bit: true
-strict: false
-
-chat_template: chatml
-datasets:
-  - path: data/merged_all.json
-    ds_type: json
-    type: alpaca
-    conversation: chatml
-
-  - path: data/capybara_sharegpt.json
-    ds_type: json
-    type: sharegpt
-    conversation: chatml
-
-  - path: data/synthia-v1.3_sharegpt_12500.json
-    ds_type: json
-    type: sharegpt
-    conversation: chatml  
-
-  - path: data/cot_alpaca_gpt4_extracted_openhermes_2.5_sharegpt.json
-    ds_type: json
-    type: sharegpt
-    conversation: chatml
-
-  - path: data/slimorca_dedup_filtered_95k_sharegpt.json
-    ds_type: json
-    type: sharegpt
-    conversation: chatml  
-
-  - path: data/airoboros_3.2_without_contextual_slimorca_orca_sharegpt.json
-    ds_type: json
-    type: sharegpt
-    conversation: chatml  
-
-dataset_prepared_path: last_run_prepared
-val_set_size: 0 # because we won't eval, out of memory :(
-output_dir: ./Einstein-v4-Qwen-1.5-32B-model
-
-sequence_len: 4096
-sample_packing: true
-pad_to_sequence_len: true
-eval_sample_packing: false
-
-adapter: qlora
-lora_model_dir:
-lora_r: 64
-lora_alpha: 32
-lora_dropout: 0.05
-lora_target_linear: true
-lora_fan_in_fan_out:
-lora_modules_to_save: 
-  - "embed_tokens"
-  - "lm_head"
-
-wandb_project: Einstein
-wandb_entity:
-wandb_watch:
-wandb_name: Einstein-v4-Qwen-1.5-32B-qlora-2-epoch
-wandb_log_model:
-hub_model_id: Weyaxi/Einstein-v4-Qwen-1.5-32B
-
-save_safetensors: true
-
-gradient_accumulation_steps: 4
-micro_batch_size: 1
-num_epochs: 2
-optimizer: adamw_bnb_8bit
-lr_scheduler: cosine
-learning_rate: 0.0002
-
-train_on_inputs: false
-group_by_length: false
-bf16: true
-fp16: false
-tf32: false
-
-gradient_checkpointing: true
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-
-warmup_steps: 10
-evals_per_epoch: 0 # because we won't eval, out of memory :(
-eval_table_size:
-eval_table_max_new_tokens: 128
-saves_per_epoch: 2
-debug:
-
-deepspeed: zero3_bf16_cpuoffload_params.json
-weight_decay: 0.0
-fsdp:
-fsdp_config:
-special_tokens:
-  bos_token: "<s>"
-  eos_token: "<|im_end|>"
-  unk_token: "<unk>"
-tokens:
-  - "<|im_start|>"
-
-```
-
-</details><br>
-
-# Einstein-v4-Qwen-1.5-32B
-
-This model is a fine-tuned version of [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B) 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: 0.0002
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 9
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 36
-- total_eval_batch_size: 9
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 10
-- num_epochs: 2
-
-### Training results
+# Einstein-v4-Qwen-1.5-32B-adapter
 
+Adapter files of Einstein-v4-Qwen-1.5-32B. Finetuned from [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B).
 
+## Original Weights
 
-### Framework versions
+You can access original weights from here:
 
-- PEFT 0.10.0
-- Transformers 4.40.0.dev0
-- Pytorch 2.1.2+cu118
-- Datasets 2.18.0
-- Tokenizers 0.15.0
+[Weyaxi/Einstein-v4-Qwen-1.5-32B](https://huggingface.co/Weyaxi/Einstein-v4-Qwen-1.5-32B)