| --- |
| license: apache-2.0 |
| base_model: NovoCode/Novocode7b-v2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: 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: NovoCode/Novocode7b-v2 |
| model_type: MistralForCausalLM |
| tokenizer_type: LlamaTokenizer |
| is_mistral_derived_model: true |
| |
| 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: chosen |
| field_output: rejected |
| format: "[INST] {instruction} [/INST]" |
| no_input_format: "[INST] {instruction} [/INST]" |
| dataset_prepared_path: |
| val_set_size: 0.05 |
| output_dir: ./out |
| |
| sequence_len: 8192 |
| sample_packing: true |
| pad_to_sequence_len: true |
| eval_sample_packing: false |
| |
| wandb_project: |
| wandb_entity: |
| wandb_watch: |
| wandb_name: |
| wandb_log_model: |
| |
| gradient_accumulation_steps: 4 |
| micro_batch_size: 2 |
| num_epochs: 4 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.000005 |
| |
| train_on_inputs: false |
| 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 |
| |
| 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> |
|
|
| # out |
|
|
| This model is a fine-tuned version of [NovoCode/Novocode7b-v2](https://huggingface.co/NovoCode/Novocode7b-v2) on the Intel/orca_dpo_pairs dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6792 |
|
|
| ## 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-06 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 10 |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.7565 | 0.01 | 1 | 0.8244 | |
| | 0.4845 | 0.26 | 24 | 0.4685 | |
| | 0.4594 | 0.51 | 48 | 0.4435 | |
| | 0.4399 | 0.77 | 72 | 0.4284 | |
| | 0.3115 | 1.01 | 96 | 0.4221 | |
| | 0.2008 | 1.26 | 120 | 0.4614 | |
| | 0.2212 | 1.52 | 144 | 0.4552 | |
| | 0.2101 | 1.78 | 168 | 0.4516 | |
| | 0.119 | 2.02 | 192 | 0.4547 | |
| | 0.0925 | 2.27 | 216 | 0.5502 | |
| | 0.096 | 2.53 | 240 | 0.5751 | |
| | 0.0967 | 2.78 | 264 | 0.5774 | |
| | 0.0537 | 3.02 | 288 | 0.5765 | |
| | 0.0576 | 3.28 | 312 | 0.6687 | |
| | 0.0526 | 3.54 | 336 | 0.6786 | |
| | 0.0492 | 3.79 | 360 | 0.6792 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.37.0 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
|
|
