| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Jboadu/test-model-1-pretrain |
| tags: |
| - axolotl |
| - generated_from_trainer |
| datasets: |
| - representation_variation_GAIA_Raw_Training_Data.jsonl |
| - text_chunks_GAIA_Raw_Training_Data.jsonl |
| - inferred_facts_GAIA_Raw_Training_Data.jsonl |
| model-index: |
| - name: test-model-2-pretrain |
| 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: `0.12.0` |
| ```yaml |
| base_model: Jboadu/test-model-1-pretrain |
| tokenizer_type: AutoTokenizer |
| model_type: AutoModelForCausalLM |
| load_in_8bit: false |
| load_in_4bit: false |
| strict: false |
| datasets: |
| - path: representation_variation_GAIA_Raw_Training_Data.jsonl |
| type: completion |
| - path: text_chunks_GAIA_Raw_Training_Data.jsonl |
| type: completion |
| - path: inferred_facts_GAIA_Raw_Training_Data.jsonl |
| type: completion |
| dataset_prepared_path: last_run_prepared |
| output_dir: ./model-output |
| seed: 1337 |
| sequence_len: 5000 |
| sample_packing: true |
| pad_to_sequence_len: false |
| shuffle_merged_datasets: true |
| gradient_accumulation_steps: 75 |
| micro_batch_size: 2 |
| eval_batch_size: 4 |
| num_epochs: 4 |
| optimizer: paged_adamw_8bit |
| lr_scheduler: constant |
| learning_rate: 2.0e-05 |
| noisy_embedding_alpha: 5 |
| weight_decay: 0 |
| train_on_inputs: false |
| group_by_length: false |
| bf16: true |
| fp16: false |
| tf32: false |
| gradient_checkpointing: true |
| logging_steps: 1 |
| xformers_attention: false |
| flash_attention: true |
| chat_template: chatml |
| auto_resume_from_checkpoints: false |
| warmup_ratio: 0.1 |
| evals_per_epoch: 1 |
| val_set_size: 0.04 |
| saves_per_epoch: 1 |
| eval_sample_packing: false |
| save_total_limit: 2 |
| special_tokens: |
| pad_token: <unk> |
| use_liger_kernel: true |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_rope: true |
| liger_rms_norm: true |
| liger_glu_activation: true |
| liger_layer_norm: true |
| liger_fused_linear_cross_entropy: true |
| sequence_length: 10000 |
| wandb_project: test-project |
| wandb_entity: '' |
| wandb_watch: '' |
| wandb_run_id: '' |
| wandb_log_model: '' |
| hub_model_id: Jboadu/test-model-2-pretrain |
| hub_strategy: all_checkpoints |
| |
| ``` |
|
|
| </details><br> |
|
|
| # test-model-2-pretrain |
|
|
| This model is a fine-tuned version of [Jboadu/test-model-1-pretrain](https://huggingface.co/Jboadu/test-model-1-pretrain) on the representation_variation_GAIA_Raw_Training_Data.jsonl, the text_chunks_GAIA_Raw_Training_Data.jsonl and the inferred_facts_GAIA_Raw_Training_Data.jsonl datasets. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.9761 |
| - Memory/max Mem Active(gib): 31.49 |
| - Memory/max Mem Allocated(gib): 31.49 |
| - Memory/device Mem Reserved(gib): 33.08 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 4 |
| - seed: 1337 |
| - gradient_accumulation_steps: 75 |
| - total_train_batch_size: 150 |
| - optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: constant |
| - training_steps: 8 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Mem Active(gib) | Mem Allocated(gib) | Mem Reserved(gib) | |
| |:-------------:|:------:|:----:|:---------------:|:---------------:|:------------------:|:-----------------:| |
| | No log | 0 | 0 | 1.6467 | 19.79 | 19.79 | 24.59 | |
| | 3.0113 | 0.8021 | 2 | 1.8388 | 31.49 | 31.49 | 33.08 | |
| | 1.5032 | 1.4011 | 4 | 1.4474 | 31.49 | 31.49 | 33.08 | |
| | 1.1777 | 2.0 | 6 | 1.1725 | 31.49 | 31.49 | 33.08 | |
| | 0.9505 | 2.8021 | 8 | 0.9761 | 31.49 | 31.49 | 33.08 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.55.0 |
| - Pytorch 2.7.1+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.21.4 |
| |
