Upload README.md

README.md

@@ -1,5 +1,168 @@
 ---
-license: other
-license_name: yi-license
-license_link: LICENSE
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: 01-ai/Yi-6B-200K
+model-index:
+- name: qlora-yi-6b-200k-rawrr-run2
+  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: `0.3.0`
+```yaml
+base_model: ./yi-6b-200k
+base_model_config: ./yi-6b-200k
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: false
+is_llama_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: true
+
+bnb_config_kwargs:
+    llm_int8_has_fp16_weight: false
+    bnb_4bit_quant_type: nf4
+    bnb_4bit_use_double_quant: true
+    
+torch_dtype: bf16
+strict: false
+rl: true
+datasets:
+  - path: /..../axolotl/datasets/rawrr_v1/
+    split: train
+    type: apply_chatml
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.01
+adapter: qlora
+lora_model_dir:
+sequence_len: 900
+sample_packing: false
+lora_r: 16
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+  - gate_proj
+  - down_proj
+  - up_proj
+lora_target_linear: true
+lora_fan_in_fan_out:
+wandb_project:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+output_dir: ./qlora-yi-6b-200k-rawrr-run2
+pad_to_sequence_len: true
+micro_batch_size: 1
+gradient_accumulation_steps: 16
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+torchdistx_path:
+lr_scheduler: cosine
+learning_rate: 0.00005
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+bfloat16: true
+flash_optimum: false
+gradient_checkpointing: true
+early_stopping_patience:
+save_safetensors: true
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+deepspeed:
+seed: 42
+warmup_steps: 50
+eval_steps: 5000000
+save_steps: 1500
+save_total_limit: 10
+eval_table_size: 
+eval_table_max_new_tokens:
+debug:
+weight_decay:
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<|startoftext|>"
+  eos_token: "<|endoftext|>"
+  unk_token: "<unk>"
+
+```
+
+</details><br>
+
+# qlora-yi-6b-200k-rawrr-run2
+
+This model was trained from scratch 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 517
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+
+### Framework versions
+
+
+- PEFT 0.6.0