Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

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----
-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