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--- |
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license: cc-by-sa-4.0 |
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base_model: stabilityai/stablelm-3b-4e1t |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: stablelm-4e1t-2b-v0.1 |
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results: [] |
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language: |
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- en |
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--- |
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# stablelm-4e1t-2b-v0.1 |
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This is a layer pruning experiment based off of [stablelm-3b-4e1t](https://hf.co/stabilityai/stablelm-3b-4e1t): |
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- 10 layers pruned with [PruneMe](https://github.com/pszemraj/PruneMe/tree/upgrades)/MergeKit |
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- layers selected using [BEE-spoke-data/fineweb-100k_en-med](https://hf.co/datasets/BEE-spoke-data/fineweb-100k_en-med) |
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- brief subsequent continued pretraining @ ctx 4096 |
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- data: 10k rows of FineWeb (different than pruning data) + some curated data |
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- wandb [here](https://wandb.ai/pszemraj/llama3-pruning) |
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## details |
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[<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) |
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<details><summary>See axolotl config</summary> |
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### config |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: pszemraj/stablelm-3b-4e1t-prune10 |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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strict: false |
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seed: 80085 |
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# dataset |
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datasets: |
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- path: BEE-spoke-data/KI-smorgasbord_fw-small |
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type: completion # format from earlier |
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field: text # Optional[str] default: text, field to use for completion data |
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val_set_size: 0.015 |
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sequence_len: 4096 |
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sample_packing: true |
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pad_to_sequence_len: false |
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train_on_inputs: false |
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group_by_length: false |
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# WANDB |
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wandb_project: llama3-pruning |
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wandb_entity: pszemraj |
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wandb_watch: gradients |
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wandb_name: stablelm-4e1t-2b-v0.1 |
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hub_model_id: pszemraj/stablelm-4e1t-2b-v0.1 |
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hub_strategy: every_save |
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gradient_accumulation_steps: 16 |
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micro_batch_size: 1 |
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num_epochs: 2 |
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optimizer: adamw_torch_fused # paged_adamw_32bit |
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weight_decay: 0.05 |
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lr_scheduler: cosine |
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learning_rate: 5e-5 |
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warmup_ratio: 0.1 |
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load_in_8bit: false |
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load_in_4bit: false |
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bf16: true |
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tf32: true |
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flash_attention: true |
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torch_compile: true # requires >= torch 2.0, may sometimes cause problems |
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torch_compile_backend: inductor # Optional[str] |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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# hyperparams for freq of evals, saving, etc |
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evals_per_epoch: 5 |
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saves_per_epoch: 3 |
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save_safetensors: true |
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save_total_limit: 1 |
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output_dir: ./output-axolotl/output-model-2b |
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logging_steps: 8 |
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deepspeed: |
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special_tokens: |
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pad_token: <|end_of_text|> |
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``` |
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</details><br> |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.0006 | 1 | 4.4344 | |
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| 2.6558 | 0.2004 | 332 | 2.7150 | |
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| 2.6548 | 0.4007 | 664 | 2.6196 | |
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| 2.5435 | 0.6011 | 996 | 2.5981 | |
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| 2.5133 | 0.8014 | 1328 | 2.5502 | |
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| 2.489 | 1.0018 | 1660 | 2.5106 | |
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| 2.2671 | 1.1898 | 1992 | 2.4944 | |
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| 2.2038 | 1.3902 | 2324 | 2.4843 | |
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| 2.2513 | 1.5905 | 2656 | 2.4761 | |
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| 2.1654 | 1.7909 | 2988 | 2.4769 | |
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--- |
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