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--- |
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library_name: peft |
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tags: |
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- axolotl |
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- base_model:adapter:model |
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- lora |
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- transformers |
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datasets: |
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- hardlyworking/HardlyRPv2-10k |
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base_model: model |
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pipeline_tag: text-generation |
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model-index: |
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- name: MS32-2 |
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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: `0.12.0.dev0` |
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```yaml |
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base_model: model |
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hub_model_id: hardlyworking/MS32-2 |
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hub_strategy: "all_checkpoints" |
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push_dataset_to_hub: |
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hf_use_auth_token: true |
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plugins: |
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- axolotl.integrations.liger.LigerPlugin |
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin |
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liger_rope: true |
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liger_rms_norm: true |
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liger_layer_norm: true |
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liger_glu_activation: true |
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liger_fused_linear_cross_entropy: false |
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cut_cross_entropy: true |
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load_in_8bit: false |
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load_in_4bit: true |
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chat_template: mistral_v7_tekken |
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datasets: |
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- path: hardlyworking/HardlyRPv2-10k |
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type: chat_template |
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split: train |
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field_messages: conversations |
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message_property_mappings: |
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role: from |
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content: value |
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user: human |
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assistant: gpt |
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val_set_size: 0.0 |
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output_dir: ./outputs/out |
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adapter: qlora |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.0 |
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lora_target_linear: true |
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peft_use_rslora: true |
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sequence_len: 8192 |
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sample_packing: true |
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eval_sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: MS32-2 |
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wandb_entity: |
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wandb_watch: |
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wandb_name: MS32-2 |
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wandb_log_model: |
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gradient_accumulation_steps: 32 |
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micro_batch_size: 1 |
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num_epochs: 1 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 2e-5 |
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max_grad_norm: 1.0 |
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bf16: auto |
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tf32: true |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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unsloth: true |
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resume_from_checkpoint: |
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logging_steps: 1 |
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flash_attention: true |
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warmup_ratio: 0.1 |
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evals_per_epoch: |
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saves_per_epoch: 4 |
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weight_decay: 0.0025 |
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special_tokens: |
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``` |
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</details><br> |
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# MS32-2 |
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This model was trained from scratch on the hardlyworking/HardlyRPv2-10k 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-05 |
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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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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.ADAMW_BNB 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: 6 |
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- training_steps: 67 |
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### Training results |
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### Framework versions |
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- PEFT 0.17.0 |
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- Transformers 4.55.0 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
