| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: allenai/Olmo-3-1025-7B |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: model-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/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) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.15.0` |
| | ```yaml |
| | # ── Continued Pretraining: 7B on 8×A40 (48GB) ── |
| | |
| | base_model: allenai/Olmo-3-1025-7B |
| | tokenizer_type: AutoTokenizer |
| | |
| | # ── Data ── |
| | datasets: |
| | - path: data/1b/all.jsonl |
| | type: completion |
| | field: completion |
| | |
| | # ── Sequence / packing ── |
| | sequence_len: 2048 |
| | sample_packing: true |
| | pad_to_sequence_len: true |
| | # NOTE: do NOT enable group_by_length with sample_packing |
| | |
| | # ── Batch sizing ── |
| | # Per-GPU: 4 seqs × 2048 tok = 8k tokens/step/GPU |
| | # Global: 4 × 4 accum × 8 GPUs = 128 effective seqs/step |
| | micro_batch_size: 4 |
| | gradient_accumulation_steps: 4 |
| | |
| | # ── Training ── |
| | train_on_inputs: true |
| | optimizer: adamw_torch |
| | lr_scheduler: cosine |
| | learning_rate: 5e-5 |
| | warmup_steps: 200 |
| | max_steps: 150 |
| | weight_decay: 0.01 |
| | |
| | # ── Precision / memory ── |
| | bf16: true |
| | flash_attention: true |
| | gradient_checkpointing: true |
| | |
| | # ── DeepSpeed ZeRO Stage 2 ── |
| | deepspeed: ds_stage2.json |
| | |
| | # ── Logging ── |
| | logging_steps: 10 |
| | save_strategy: steps |
| | save_steps: 50 |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # model-out |
| |
|
| | This model is a fine-tuned version of [allenai/Olmo-3-1025-7B](https://huggingface.co/allenai/Olmo-3-1025-7B) on the data/1b/all.jsonl dataset. |
| |
|
| | ## 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-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 128 |
| | - total_eval_batch_size: 32 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 200 |
| | - training_steps: 150 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 5.3.0 |
| | - Pytorch 2.8.0+cu126 |
| | - Datasets 4.5.0 |
| | - Tokenizers 0.22.2 |
| | |
