| --- |
| library_name: transformers |
| license: mit |
| base_model: microsoft/Phi-3.5-mini-instruct |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: outputs/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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.4.1` |
| ```yaml |
| base_model: microsoft/Phi-3.5-mini-instruct |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| datasets: |
| - path: anthracite-org/stheno-filtered-v1.1 |
| type: sharegpt |
| conversation: chatml |
| - path: anthracite-org/nopm_claude_writing_fixed |
| type: sharegpt |
| conversation: chatml |
| - path: Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned |
| type: sharegpt |
| conversation: chatml |
| - path: ResplendentAI/bluemoon |
| type: sharegpt |
| conversation: chatml |
| - path: openerotica/freedom-rp |
| type: sharegpt |
| conversation: chatml |
| - path: MinervaAI/Aesir-Preview |
| type: sharegpt |
| conversation: chatml |
| - path: jeiku/jeikutxt |
| type: completion |
| - path: ResplendentAI/Sissification_Hypno_1k |
| type: alpaca |
| - path: ResplendentAI/theory_of_mind_fixed_output |
| type: alpaca |
| - path: ResplendentAI/Synthetic_Soul_1k |
| type: alpaca |
| |
| chat_template: chatml |
| |
| val_set_size: 0.01 |
| output_dir: ./outputs/out |
| |
| adapter: |
| lora_r: |
| lora_alpha: |
| lora_dropout: |
| lora_target_linear: |
| |
| sequence_len: 8192 |
| # sequence_len: 32768 |
| sample_packing: true |
| eval_sample_packing: false |
| pad_to_sequence_len: true |
| |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_rope: true |
| liger_rms_norm: true |
| liger_swiglu: true |
| liger_fused_linear_cross_entropy: true |
| |
| wandb_project: phi |
| wandb_entity: |
| wandb_watch: |
| wandb_name: phi |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 32 |
| micro_batch_size: 4 |
| num_epochs: 2 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.00001 |
| weight_decay: 0.05 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: auto |
| fp16: |
| tf32: true |
| |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: true |
| |
| warmup_ratio: 0.1 |
| evals_per_epoch: 4 |
| eval_table_size: |
| eval_max_new_tokens: 128 |
| saves_per_epoch: 2 |
| |
| debug: |
| deepspeed: deepspeed_configs/zero3.json |
| fsdp: |
| fsdp_config: |
| |
| special_tokens: |
| pad_token: <|finetune_right_pad_id|> |
| |
| |
| ``` |
|
|
| </details><br> |
|
|
| # outputs/out |
|
|
| This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 7.1048 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 2 |
| - gradient_accumulation_steps: 32 |
| - total_train_batch_size: 256 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 8 |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 15.986 | 0.0233 | 1 | 16.8119 | |
| | 9.6041 | 0.2567 | 11 | 9.1897 | |
| | 7.5864 | 0.5135 | 22 | 7.5221 | |
| | 7.2575 | 0.7702 | 33 | 7.2532 | |
| | 7.1368 | 1.0270 | 44 | 7.1665 | |
| | 7.078 | 1.2844 | 55 | 7.1249 | |
| | 7.0613 | 1.5417 | 66 | 7.1079 | |
| | 7.0599 | 1.7990 | 77 | 7.1048 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.45.0.dev0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
| |
