| --- |
| license: mit |
| base_model: microsoft/phi-2 |
| tags: |
| - axolotl |
| - generated_from_trainer |
| model-index: |
| - name: phi2-filter2 |
| 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: `0.3.0` |
| ```yaml |
| base_model: microsoft/phi-2 |
| model_revision: 834565c # pin model repo to the previous architecture |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| trust_remote_code: true |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| hub_model_id: satpalsr/phi2-filter2 |
| hf_use_auth_token: true |
| |
| datasets: |
| - path: satpalsr/phifilter |
| type: completion |
| |
| dataset_prepared_path: |
| val_set_size: 0.0 |
| output_dir: ./phi2-filter2 |
| |
| sequence_len: 2048 |
| sample_packing: false # currently unsupported |
| pad_to_sequence_len: |
| |
| adapter: |
| lora_model_dir: |
| lora_r: 16 |
| lora_alpha: 32 |
| lora_dropout: 0.1 |
| lora_target_linear: true |
| lora_fan_in_fan_out: |
| lora_modules_to_save: |
| - embd |
| - lm_head |
| |
| wandb_project: phi2transfilter |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 16 |
| num_epochs: 16 |
| optimizer: paged_adamw_8bit |
| adam_beta2: 0.95 |
| adam_epsilon: 0.00001 |
| max_grad_norm: 1.0 |
| lr_scheduler: cosine |
| learning_rate: 1e-5 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: true |
| fp16: false |
| tf32: true |
| |
| gradient_checkpointing: true |
| early_stopping_patience: |
| resume_from_checkpoint: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| flash_attention: false |
| |
| warmup_steps: 100 |
| 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> |
|
|
| # phi2-filter2 |
|
|
| This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset. |
|
|
| ## 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: 16 |
| - eval_batch_size: 16 |
| - 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: 16 |
| |
| ### Training results |
| |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.1.1+cu118 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
| |
