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--- |
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library_name: transformers |
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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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- chargoddard/reddit-writing-prompts-reprompted |
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- chargoddard/reddit-writing-advice-r1-messages |
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- chargoddard/persona-evolve-v0-sft |
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model-index: |
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- name: mistral-24b-writing-v1 |
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results: [] |
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license: cc-by-nc-4.0 |
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base_model: |
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- mistralai/Mistral-Small-3.1-24B-Instruct-2503 |
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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: /workspace/models/mistral3p1-24b-textonly |
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tokenizer_config: IntervitensInc/Mistral-Small-24B-Instruct-2501-chatml |
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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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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_glu_activation: true |
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liger_fused_linear_cross_entropy: true |
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datasets: |
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- path: chargoddard/reddit-writing-prompts-reprompted |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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roles: |
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system: |
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- system |
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user: |
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- human |
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- user |
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assistant: |
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- gpt |
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- assistant |
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- path: chargoddard/reddit-writing-advice-r1-messages |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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roles: |
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system: |
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- system |
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user: |
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- human |
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- user |
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assistant: |
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- gpt |
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- assistant |
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- path: chargoddard/persona-evolve-v0-sft |
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type: chat_template |
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field_messages: messages |
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message_field_role: role |
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message_field_content: content |
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roles: |
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system: |
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- system |
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user: |
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- human |
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- user |
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assistant: |
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- gpt |
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- assistant |
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dataset_prepared_path: /workspace/data/prepared_datasets |
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chat_template: chatml |
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shuffle_merged_datasets: true |
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val_set_size: 0.02 |
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output_dir: /workspace/models/mistral-24b-writing |
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sequence_len: 16384 |
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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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wandb_project: mistral-24b-writing |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 2 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.00002 |
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max_grad_norm: 3 |
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train_on_inputs: true |
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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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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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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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warmup_ratio: 0.02 |
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saves_per_epoch: 8 |
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evals_per_epoch: 4 |
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save_total_limit: 5 |
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save_safetensors: true |
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hub_model_id: chargoddard/mistral-24b-writing-v1 |
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hub_strategy: every_save |
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debug: |
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deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json |
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weight_decay: 0.01 |
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seed: 64939 |
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``` |
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</details><br> |
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# mistral-24b-writing-v1 |
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This model was trained from scratch on the chargoddard/reddit-writing-prompts-reprompted, the chargoddard/reddit-writing-advice-r1-messages and the arcee-train/persona-evolve-v1-sft datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7083 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 64939 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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- optimizer: Use paged_adamw_8bit 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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- 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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| 2.5064 | 0.0060 | 1 | 2.5349 | |
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| 1.9334 | 0.2530 | 42 | 1.8756 | |
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| 1.7816 | 0.5060 | 84 | 1.7640 | |
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| 1.7553 | 0.7590 | 126 | 1.7354 | |
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| 1.5043 | 1.0120 | 168 | 1.7856 | |
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| 1.3543 | 1.2651 | 210 | 1.7375 | |
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| 1.3497 | 1.5181 | 252 | 1.7169 | |
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| 1.3095 | 1.7711 | 294 | 1.7083 | |
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### Framework versions |
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- Transformers 4.51.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.1 |
