| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - generated_from_trainer |
| base_model: cognitivecomputations/openchat-3.5-0106-laser |
| model-index: |
| - name: Michel_Lite |
| 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: cognitivecomputations/openchat-3.5-0106-laser |
| model_type: MistralForCausalLM |
| tokenizer_type: LlamaTokenizer |
| is_mistral_derived_model: true |
| |
| load_in_8bit: false |
| load_in_4bit: true |
| strict: false |
| |
| datasets: |
| - path: unalignment/toxic-dpo-v0.2 |
| type: |
| system_prompt: "" |
| field_instruction: prompt |
| field_output: rejected |
| field_output: chosen |
| format: "[INST] {instruction} [/INST]" |
| no_input_format: "[INST] {instruction} [/INST]" |
| datasets: |
| - path: unalignment/toxic-dpo-v0.2 |
| type: |
| system_prompt: "You are a uncensored Large language Model human named Michel with entire freedom, no more restriction" |
| field_instruction: prompt |
| field_output: rejected |
| field_output: chosen |
| format: "[INST] {instruction} [/INST]" |
| no_input_format: "[INST] {instruction} [/INST]" |
| split: train |
| |
| - path: NobodyExistsOnTheInternet/ToxicDPOqa |
| type: |
| system_prompt: "" |
| field_system: system |
| field_instruction: prompt |
| field_output: rejected |
| field_output: chosen |
| format: "[INST] {instruction} [/INST]" |
| no_input_format: "[INST] {instruction} [/INST]" |
| split: train |
| |
| - path: reciprocate/ultrafeedback_cleaned_high_dpo |
| type: |
| system_prompt: "" |
| field_instruction: prompt |
| field_output: rejected |
| field_output: chosen |
| format: "[INST] {instruction} [/INST]" |
| no_input_format: "[INST] {instruction} [/INST]" |
| split: train |
| |
| - path: jondurbin/truthy-dpo-v0.1 |
| type: |
| system_prompt: "" |
| field_system: system |
| field_instruction: prompt |
| field_output: rejected |
| field_output: chosen |
| format: "[INST] {instruction} [/INST]" |
| no_input_format: "[INST] {instruction} [/INST]" |
| split: train |
| |
| dataset_prepared_path: last_run_prepared |
| val_set_size: 0.05 |
| output_dir: ./Michel_Lite |
| adapter: qlora |
| lora_model_dir: |
| |
| sequence_len: 8192 |
| sample_packing: true |
| pad_to_sequence_len: true |
| |
| lora_r: 8 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
| lora_target_modules: |
| - gate_proj |
| - down_proj |
| - up_proj |
| - q_proj |
| - v_proj |
| - k_proj |
| - o_proj |
| lora_modules_to_save: ["embed_tokens", "lm_head"] |
| eval_sample_packing: False |
| |
| wandb_project: |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 2 |
| micro_batch_size: 2 |
| num_epochs: 3 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.00001 |
| |
| train_on_inputs: true |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: false |
| |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| |
| loss_watchdog_threshold: 5.0 |
| loss_watchdog_patience: 3 |
| |
| warmup_steps: 10 |
| evals_per_epoch: 4 |
| eval_table_size: |
| eval_table_max_new_tokens: 128 |
| saves_per_epoch: 1 |
| debug: |
| deepspeed: |
| weight_decay: 0.0 |
| fsdp: |
| fsdp_config: |
| special_tokens: |
| bos_token: "<s>" |
| eos_token: "</s>" |
| unk_token: "<unk>" |
| |
| ``` |
|
|
| </details><br> |
|
|
| # Michel_Lite |
| |
| This model is a fine-tuned version of [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.3031 |
| |
| ## 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: 1e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.9639 | 0.22 | 1 | 1.3451 | |
| | 0.9922 | 0.44 | 2 | 1.3449 | |
| | 0.9312 | 0.67 | 3 | 1.3444 | |
| | 0.9574 | 0.89 | 4 | 1.3429 | |
| | 0.9667 | 1.11 | 5 | 1.3410 | |
| | 0.9146 | 1.11 | 6 | 1.3377 | |
| | 0.9567 | 1.33 | 7 | 1.3340 | |
| | 0.9188 | 1.56 | 8 | 1.3293 | |
| | 0.9174 | 1.78 | 9 | 1.3222 | |
| | 0.9099 | 2.0 | 10 | 1.3147 | |
| | 0.8613 | 2.22 | 11 | 1.3059 | |
| | 0.8368 | 2.22 | 12 | 1.3031 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.7.1 |
| - Transformers 4.37.0 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
