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--- |
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library_name: transformers |
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base_model: AlexHung29629/FormoMouse123 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out_1 |
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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: `0.9.2` |
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```yaml |
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base_model: AlexHung29629/FormoMouse123 |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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liger_rope: false |
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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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unfrozen_parameters: |
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- model.lm_head.weight |
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- model.embed_tokens.weight |
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pretraining_dataset: |
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- path: AlexHung29629/para_pat_text |
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split: train |
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text_column: text |
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type: pretrain |
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- path: AlexHung29629/urban_dictionary |
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split: train |
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text_column: text |
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type: pretrain |
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dataset_prepared_path: data_prep_1 |
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val_set_size: 0.0 |
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output_dir: ./out_1 |
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shuffle_merged_datasets: true |
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sequence_len: 2048 |
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pretraining_sample_concatenation: true |
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#sample_packing: true |
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#eval_sample_packing: false |
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pad_to_sequence_len: true |
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use_tensorboard: true |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 1 |
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num_epochs: 2 |
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max_steps: 10000 |
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save_steps: 1000 |
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save_total_limit: 1 |
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save_only_model: true |
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optimizer: ao_adamw_fp8 |
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lr_scheduler: cosine |
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learning_rate: 2e-4 |
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max_grad_norm: 1.0 |
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bfloat16: true |
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gradient_checkpointing: true |
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logging_steps: 1 |
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torch_compile: false |
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sdp_attention: true |
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warmup_ratio: 0.1 |
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weight_decay: 0.1 |
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``` |
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</details><br> |
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# out_1 |
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This model is a fine-tuned version of [AlexHung29629/FormoMouse123](https://huggingface.co/AlexHung29629/FormoMouse123) on an unknown 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: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- training_steps: 10000 |
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### Training results |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.7.0+cu128 |
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- Datasets 3.5.1 |
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- Tokenizers 0.21.1 |
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