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--- |
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library_name: transformers |
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license: llama3.1 |
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base_model: meta-llama/Llama-3.1-8B |
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tags: |
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- generated_from_trainer |
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datasets: |
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- bespokelabs/Bespoke-Stratos-17k |
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model-index: |
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- name: outputs/out/reasoning-8b-stratos |
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results: [] |
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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: `0.8.0.dev0` |
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```yaml |
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base_model: meta-llama/Llama-3.1-8B |
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# Automatically upload checkpoint and final model to HF |
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# hub_model_id: username/custom_model_name |
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# |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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- axolotl.integrations.spectrum.SpectrumPlugin |
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spectrum_top_fraction: 0.5 |
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spectrum_model_name: meta-llama/Meta-Llama-3.1-8B |
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liger_rope: true |
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liger_rms_norm: true |
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liger_glu_activation: true |
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liger_fused_linear_cross_entropy: true |
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strict: false |
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chat_template: llama3 |
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datasets: |
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- path: bespokelabs/Bespoke-Stratos-17k |
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field_messages: conversations |
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message_property_mappings: |
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content: value |
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role: from |
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split: train |
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type: chat_template |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.0 |
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output_dir: ./outputs/out/reasoning-8b-stratos |
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save_safetensors: true |
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wandb_project: reasoning-8b-stratos |
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wandb_entity: axolotl-ai |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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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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gradient_accumulation_steps: 1 |
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micro_batch_size: 4 |
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num_epochs: 3 |
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optimizer: adamw_torch_fused |
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lr_scheduler: rex |
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learning_rate: 2.0e-7 |
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max_grad_norm: 1.0 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: true |
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tf32: true |
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gradient_checkpointing: unsloth |
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gradient_checkpointing_kwargs: |
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use_reentrant: true |
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logging_steps: 1 |
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flash_attention: true |
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warmup_steps: 20 |
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evals_per_epoch: 4 |
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saves_per_epoch: 2 |
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weight_decay: 0.01 |
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# deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json |
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deepspeed: deepspeed_configs/zero2.json |
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special_tokens: |
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pad_token: <|finetune_right_pad_id|> |
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eos_token: <|eot_id|> |
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added_tokens_overrides: |
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128011: <think> |
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128012: </think> |
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128013: <|begin_of_thought|> |
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128014: <|end_of_thought|> |
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128015: <|begin_of_solution|> |
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128016: <|end_of_solution|> |
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fix_untrained_tokens: |
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- 128011 |
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- 128012 |
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- 128013 |
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- 128014 |
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- 128015 |
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- 128016 |
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``` |
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</details><br> |
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# outputs/out/reasoning-8b-stratos |
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the bespokelabs/Bespoke-Stratos-17k dataset. |
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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: 2e-07 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- max_seq_length: 16384 |
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- num_devices: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: rex |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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