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--- |
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base_model: pints-ai/1.5-Pints-16K-v0.1 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct |
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results: [] |
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datasets: |
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- tangledgroup/tangled-llama-pints-1.5b-v0.1-dataset |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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base_model: pints-ai/1.5-Pints-16K-v0.1 |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: tangledgroup/tangled-llama-pints-1.5b-v0.1-dataset |
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type: sharegpt |
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conversation: chatml |
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chat_template: chatml |
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dataset_prepared_path: |
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val_set_size: 0.05 |
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output_dir: ./outputs/qlora-out |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 16384 |
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sample_packing: true |
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pad_to_sequence_len: true |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_modules: |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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wandb_project: |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 3 |
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# optimizer: paged_adamw_32bit |
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optimizer: adamw_torch_fused |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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loss_watchdog_threshold: 15.0 |
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loss_watchdog_patience: 3 |
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warmup_steps: 10 |
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evals_per_epoch: 3 |
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eval_table_size: |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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``` |
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</details><br> |
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# tangledgroup/tangled-llama-pints-1.5b-v0.1-instruct |
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This model is a fine-tuned version of [pints-ai/1.5-Pints-16K-v0.1](https://huggingface.co/pints-ai/1.5-Pints-16K-v0.1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0998 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.1867 | 0.0041 | 1 | 1.2217 | |
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| 1.147 | 0.3347 | 82 | 1.1398 | |
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| 1.1475 | 0.6694 | 164 | 1.1236 | |
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| 1.1831 | 1.0041 | 246 | 1.1143 | |
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| 1.1513 | 1.3194 | 328 | 1.1087 | |
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| 1.0978 | 1.6541 | 410 | 1.1045 | |
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| 1.085 | 1.9888 | 492 | 1.1015 | |
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| 1.0014 | 2.3041 | 574 | 1.1004 | |
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| 0.9882 | 2.6388 | 656 | 1.0998 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_tangledgroup__tangled-llama-pints-1.5b-v0.1-instruct) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. | 4.18| |
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|IFEval (0-Shot) |15.09| |
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|BBH (3-Shot) | 3.84| |
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|MATH Lvl 5 (4-Shot)| 0.08| |
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|GPQA (0-shot) | 0.00| |
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|MuSR (0-shot) | 4.85| |
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|MMLU-PRO (5-shot) | 1.21| |
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