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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: NewEden/MistralAI-Nemo-Instruct-ChatML |
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tags: |
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- axolotl |
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- generated_from_trainer |
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datasets: |
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- hardlyworking/HardlyRP |
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- jeiku/Writing |
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model-index: |
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- name: Sapphire-12B |
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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: `0.8.0` |
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```yaml |
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base_model: NewEden/MistralAI-Nemo-Instruct-ChatML |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: hardlyworking/HardlyRP |
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type: chat_template |
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chat_template: chatml |
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roles_to_train: ["gpt"] |
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field_messages: conversations |
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message_field_role: from |
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message_field_content: value |
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train_on_eos: turn |
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- path: jeiku/Writing |
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type: completion |
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field: text |
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shuffle_merged_datasets: true |
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dataset_prepared_path: dataset_preparedss |
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val_set_size: 0.0025 |
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output_dir: 12b-out-0001-max_grad_norm |
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hub_model_id: hardlyworking/Sapphire-12B |
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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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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: true |
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sequence_len: 8192 |
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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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max_grad_norm: 0.001 |
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wandb_project: Sapphire |
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wandb_entity: |
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wandb_watch: |
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wandb_name: Sapphire |
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wandb_log_model: |
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evals_per_epoch: 8 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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gradient_accumulation_steps: 8 |
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micro_batch_size: 2 |
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num_epochs: 2 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 2e-6 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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s2_attention: |
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warmup_ratio: 0.05 |
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saves_per_epoch: 1 |
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debug: |
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weight_decay: 0.0001 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <pad> |
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``` |
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</details><br> |
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# Sapphire-12B |
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This model is a fine-tuned version of [NewEden/MistralAI-Nemo-Instruct-ChatML](https://huggingface.co/NewEden/MistralAI-Nemo-Instruct-ChatML) on the hardlyworking/HardlyRP and the jeiku/Writing datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6799 |
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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-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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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: 30 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.8932 | 0.0033 | 1 | 1.9155 | |
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| 1.7729 | 0.1262 | 38 | 1.7802 | |
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| 1.7163 | 0.2525 | 76 | 1.7111 | |
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| 1.6484 | 0.3787 | 114 | 1.6970 | |
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| 1.7006 | 0.5050 | 152 | 1.6907 | |
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| 1.7276 | 0.6312 | 190 | 1.6874 | |
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| 1.7042 | 0.7575 | 228 | 1.6847 | |
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| 1.5575 | 0.8837 | 266 | 1.6825 | |
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| 1.5451 | 1.0100 | 304 | 1.6816 | |
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| 1.6592 | 1.1362 | 342 | 1.6807 | |
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| 1.7344 | 1.2625 | 380 | 1.6805 | |
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| 1.6953 | 1.3887 | 418 | 1.6798 | |
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| 1.5799 | 1.5150 | 456 | 1.6799 | |
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| 1.5241 | 1.6412 | 494 | 1.6799 | |
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| 1.548 | 1.7674 | 532 | 1.6797 | |
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| 1.6254 | 1.8937 | 570 | 1.6799 | |
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### Framework versions |
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- Transformers 4.51.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
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