Delete .ipynb_checkpoints (#2)

- Delete .ipynb_checkpoints (c60d657415196348f9e4960b4defb20c706c8147)


Co-authored-by: Lee Jackson <[email protected]>

.ipynb_checkpoints/README-checkpoint.md

@@ -1,151 +0,0 @@
----
-license: mit
-base_model: microsoft/phi-2
-tags:
-- generated_from_trainer
-model-index:
-- name: phi-sft-out
-  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: microsoft/phi-2
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-datasets:
-  - path: Intel/orca_dpo_pairs
-    type:
-      system_prompt: ""
-      field_system: system
-      field_instruction: question
-      field_output: rejected
-      field_output: chosen
-
-dataset_prepared_path:
-val_set_size: 0.05
-output_dir: ./phi-sft-out
-
-sequence_len: 2048
-sample_packing: true
-pad_to_sequence_len: true
-
-adapter:
-lora_model_dir:
-lora_r:
-lora_alpha:
-lora_dropout:
-lora_target_linear:
-lora_fan_in_fan_out:
-
-wandb_project:
-wandb_entity:
-wandb_watch:
-wandb_name:
-wandb_log_model:
-
-gradient_accumulation_steps: 1
-micro_batch_size: 2
-num_epochs: 2
-optimizer: adamw_torch
-adam_beta2: 0.95
-adam_epsilon: 0.00001
-max_grad_norm: 1.0
-lr_scheduler: cosine
-learning_rate: 0.000003
-
-train_on_inputs: false
-group_by_length: false
-bf16: auto
-fp16:
-tf32: true
-
-gradient_checkpointing: true
-gradient_checkpointing_kwargs:
-  use_reentrant: True
-early_stopping_patience:
-resume_from_checkpoint:
-local_rank:
-logging_steps: 1
-xformers_attention:
-flash_attention: true
-
-warmup_steps: 100
-evals_per_epoch: 4
-saves_per_epoch: 1
-debug:
-deepspeed:
-weight_decay: 0.1
-fsdp:
-fsdp_config:
-resize_token_embeddings_to_32x: true
-special_tokens:
-  pad_token: "<|endoftext|>"
-
-```
-
-</details><br>
-
-# phi-sft-out
-
-This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.2999
-
-## 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: 3e-06
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 100
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.3053        | 0.0   | 1    | 1.3288          |
-| 1.2314        | 0.25  | 287  | 1.3183          |
-| 1.1664        | 0.5   | 574  | 1.3090          |
-| 1.4349        | 0.75  | 861  | 1.3034          |
-| 1.4875        | 1.0   | 1148 | 1.3012          |
-| 1.3461        | 1.23  | 1435 | 1.3006          |
-| 1.3247        | 1.48  | 1722 | 1.2998          |
-| 1.2906        | 1.73  | 2009 | 1.2999          |
-
-
-### Framework versions
-
-- Transformers 4.37.0
-- Pytorch 2.1.2+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0