End of training

README.md

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+---
+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: []
+---
+
+<!-- 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
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.1.2+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.0