Merge branch 'main' of https://huggingface.co/l3utterfly/phi-2-layla-v1

README.md

@@ -1,149 +1,38 @@
 ---
-tags:
-- generated_from_trainer
-model-index:
-- name: out
-  results: []
+license: mit
+language:
+- en
 ---
 
-<!-- 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. -->
+# Model Card
 
-[<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: /home/layla/src/text-generation-webui/models/phi-2
-model_type: AutoModelForCausalLM
-tokenizer_type: AutoTokenizer
-
-load_in_8bit: false
-load_in_4bit: false
-strict: false
+### Model Description
 
-datasets:
-  - path: /home/layla/src/Layla-datasets/datasets_formatted/base/dailydialog.topicalchat.teatime.openhermes.jsonl
-    ds_type: json # see other options below
-    type: sharegpt
-    conversation: vicuna_v1.1
+Phi-2 fine-tuned by the OpenHermes 2.5 dataset optimised for multi-turn conversation and character impersonation.
 
-# datasets:
-#   - path: /home/layla/src/Layla-datasets/datasets_formatted/airoboros_alpaca.jsonl
-#     type: alpaca
+The dataset has been pre-processed by doing the following:
+1. remove all refusals
+2. remove any mention of AI assistant
+3. split any multi-turn dialog generated in the dataset into multi-turn conversations records
+4. added nfsw generated conversations from the Teatime dataset
 
-dataset_prepared_path: last_run_prepared
-val_set_size: 0.01
-output_dir: ./out
+- **Developed by:** l3utterfly
+- **Funded by:** Layla Network
+- **Model type:** Phi-2
+- **Language(s) (NLP):** English
+- **License:** MIT
+- **Finetuned from model:** Phi-2
 
-sequence_len: 2048
-sample_packing: true
-pad_to_sequence_len: true
+## Uses
 
-wandb_project:
-wandb_entity:
-wandb_watch:
-wandb_run_id:
-wandb_log_model:
+Base model used by Layla - the offline personal assistant: https://www.layla-network.ai
 
-gradient_accumulation_steps: 4
-micro_batch_size: 2
-num_epochs: 1
-optimizer: adamw_bnb_8bit
-lr_scheduler: cosine
-learning_rate: 0.0000005
+Help & support: https://discord.gg/x546YJ6nYC
 
-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_ratio: 0.05
-eval_steps: 0.1
-eval_sample_packing: true
-save_steps: 300
-debug:
-deepspeed: /home/layla/src/Layla-datasets/axolotl/configs/deepspeed/zero2.json # multi-gpu only
-weight_decay: 0.0
-fsdp:
-fsdp_config:
-resize_token_embeddings_to_32x: true
-special_tokens:
-  bos_token: "<|endoftext|>"
-  eos_token: "<|endoftext|>"
-  unk_token: "<|endoftext|>"
-  pad_token: "<|endoftext|>"
+Prompt:
+```
+USER:
+ASSISTANT:
 ```
 
-</details><br>
-
-# out
-
-This model was trained from scratch on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.8072
-
-## 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-07
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 5
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 40
-- total_eval_batch_size: 10
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 17
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.9616        | 0.0   | 1    | 1.0031          |
-| 0.9489        | 0.1   | 372  | 0.8825          |
-| 0.987         | 0.2   | 744  | 0.8487          |
-| 0.818         | 0.3   | 1116 | 0.8313          |
-| 0.8389        | 0.4   | 1488 | 0.8212          |
-| 0.9015        | 0.5   | 1860 | 0.8146          |
-| 0.8237        | 0.6   | 2232 | 0.8108          |
-| 0.7562        | 0.7   | 2604 | 0.8088          |
-| 0.8776        | 0.8   | 2976 | 0.8078          |
-| 0.8703        | 0.9   | 3348 | 0.8072          |
-
-
-### Framework versions
-
-- Transformers 4.39.0.dev0
-- Pytorch 2.2.0
-- Datasets 2.17.1
-- Tokenizers 0.15.0
+[<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)