| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| base_model: leveldevai/TurdusBeagle-7B |
| model-index: |
| - name: Metabird-7B |
| 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. --> |
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| # Metabird-7B |
|
|
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.3.0` |
| ```yaml |
| base_model: leveldevai/TurdusBeagle-7B |
| model_type: MistralForCausalLM |
| tokenizer_type: LlamaTokenizer |
| is_mistral_derived_model: true |
| |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| |
| datasets: |
| - path: shuyuej/metamath_gsm8k |
| type: |
| system_prompt: "" |
| field_instruction: question |
| field_output: answer |
| 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: 1 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.000005 |
| |
| train_on_inputs: false |
| group_by_length: false |
| bf16: true |
| fp16: false |
| 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> |
|
|
| ## Metabird |
|
|
| [<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) |
|
|
| This model is a fine-tuned version of [leveldevai/TurdusBeagle-7B](https://huggingface.co/leveldevai/TurdusBeagle-7B) on the shuyuej/metamath_gsm8k dataset. |
| It achieves the following results on the evaluation set: |
| |
| - Loss: 0.4017 |
| |
| ## Model description |
| |
| More information soon |
| |
| ## Intended uses & limitations |
| |
| More information soon |
| |
| ## Training and evaluation data |
| |
| More information soon |
| |
| ## Training procedure |
| |
| More information soon |
| |
| |
| ### 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: 1 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.9074 | 0.05 | 1 | 0.9932 | |
| | 0.5012 | 0.26 | 5 | 0.4849 | |
| | 0.4204 | 0.53 | 10 | 0.4435 | |
| | 0.3748 | 0.79 | 15 | 0.4017 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.0.1+cu117 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
| |
| # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
| Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ConvexAI__Metabird-7B) |
| |
| | Metric |Value| |
| |---------------------------------|----:| |
| |Avg. |71.03| |
| |AI2 Reasoning Challenge (25-Shot)|69.54| |
| |HellaSwag (10-Shot) |87.54| |
| |MMLU (5-Shot) |65.27| |
| |TruthfulQA (0-shot) |57.94| |
| |Winogrande (5-shot) |83.03| |
| |GSM8k (5-shot) |62.85| |
| |
| |
