| --- |
| library_name: transformers |
| base_model: AlexHung29629/FormoMouse123 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: out_1 |
| 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: `0.9.2` |
| ```yaml |
| base_model: AlexHung29629/FormoMouse123 |
| |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_rope: false |
| liger_rms_norm: true |
| liger_glu_activation: true |
| liger_fused_linear_cross_entropy: true |
| |
| unfrozen_parameters: |
| - model.lm_head.weight |
| - model.embed_tokens.weight |
| |
| pretraining_dataset: |
| - path: AlexHung29629/para_pat_text |
| split: train |
| text_column: text |
| type: pretrain |
| - path: AlexHung29629/urban_dictionary |
| split: train |
| text_column: text |
| type: pretrain |
| |
| dataset_prepared_path: data_prep_1 |
| val_set_size: 0.0 |
| output_dir: ./out_1 |
| |
| shuffle_merged_datasets: true |
| |
| sequence_len: 2048 |
| pretraining_sample_concatenation: true |
| #sample_packing: true |
| #eval_sample_packing: false |
| pad_to_sequence_len: true |
| |
| use_tensorboard: true |
| |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 1 |
| num_epochs: 2 |
| max_steps: 10000 |
| save_steps: 1000 |
| save_total_limit: 1 |
| save_only_model: true |
| optimizer: ao_adamw_fp8 |
| lr_scheduler: cosine |
| learning_rate: 2e-4 |
| max_grad_norm: 1.0 |
| |
| bfloat16: true |
| |
| gradient_checkpointing: true |
| |
| logging_steps: 1 |
| torch_compile: false |
| sdp_attention: true |
| |
| |
| warmup_ratio: 0.1 |
| weight_decay: 0.1 |
| |
| ``` |
|
|
| </details><br> |
|
|
| # out_1 |
| |
| This model is a fine-tuned version of [AlexHung29629/FormoMouse123](https://huggingface.co/AlexHung29629/FormoMouse123) on an unknown 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: 0.0002 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - 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: 1000 |
| - training_steps: 10000 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.7.0+cu128 |
| - Datasets 3.5.1 |
| - Tokenizers 0.21.1 |
|
|
