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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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datasets: |
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- allura-forge/koto-instruct-sft |
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model-index: |
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- name: apertus/trained-again-instruct-o-down |
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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: `0.13.0.dev0` |
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```yaml |
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# !pip install transformers==4.55.4 |
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# !pip install --no-deps trl==0.22.2 |
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# !pip install --no-build-isolation mamba_ssm==2.2.5 |
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# !pip install --no-build-isolation causal_conv1d==1.5.2 |
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# === Model Configuration === |
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base_model: apertus/trained-instruct-attn |
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load_in_8bit: false |
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load_in_4bit: false |
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# === HF Configuration === |
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#hub_model_id: ToastyPigeon/muse-marvin-32k-lora-2 |
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#hub_strategy: "every_save" |
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output_dir: apertus/trained-again-instruct-o-down |
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# === Wandb Tracking === |
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wandb_project: ApertusTests |
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# wandb_entity: [WANDB_ENTITY] |
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wandb_name: trained-again-instruct-o-down |
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# === Training Setup === |
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num_epochs: 1 |
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micro_batch_size: 1 |
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gradient_accumulation_steps: 4 |
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sequence_len: 4096 |
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#sequence_parallel_degree: 2 |
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#heads_k_stride: 1 |
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sample_packing: true |
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#pad_to_sequence_len: true |
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#temperature: 0.7 |
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#max_steps: 10 |
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# === Evaluation === |
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val_set_size: 0.025 |
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evals_per_epoch: 10 |
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#eval_steps: 20 |
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#max_steps: 60 |
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#eval_table_size: |
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eval_max_new_tokens: 128 |
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#eval_sample_packing: true |
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#eval_strategy: "no" |
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# === LoRA Configuration === |
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adapter: |
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lora_model_dir: |
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lora_r: |
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lora_alpha: |
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lora_dropout: |
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lora_target_linear: |
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lora_target_modules: |
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# - up_proj |
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# - down_proj |
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# - gate_proj |
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# - q_proj |
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# - v_proj |
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# - k_proj |
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# - o_proj |
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# - input_layernorm |
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# - post_attention_layernorm |
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# - embed_tokens |
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# - lm_head |
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lora_fan_in_fan_out: |
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#peft_use_rslora: true |
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lora_modules_to_save: |
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# - embed_tokens |
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# - lm_head |
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#fix_untrained_tokens: true |
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#lora_mlp_kernel: true |
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#lora_qkv_kernel: true |
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#lora_o_kernel: true |
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unfrozen_parameters: |
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- model.layers.[0-9]+.self_attn.o_proj |
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- model.layers.[0-9]+.mlp.down_proj |
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# === Hyperparameter Configuration === |
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#optimizer: apollo_adamw_layerwise |
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#warmup_steps: 0 |
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warmup_ratio: 0.025 |
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optimizer: adamw_torch_fused |
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#optimizer: paged_adamw_8bit |
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#optim_args: |
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# enable_stochastic_rounding: true |
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# enable_cautious: true |
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# enable_8bit: true |
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# Apollo-mini configuration: |
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#optim_args: "proj=random,rank=128,scale=128.0,scale_type=tensor,update_proj_gap=100" |
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# Regular Apollo configuration: |
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# optim_args: |
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#optim_target_modules: all_linear |
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learning_rate: 1e-5 |
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lr_scheduler: cosine |
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#cosine_min_lr_ratio: 0.2 |
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#lr_scheduler: cosine_with_min_lr |
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#lr_scheduler_kwargs: |
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# cosine_min_lr: 1e-6 |
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weight_decay: 0.01 |
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max_grad_norm: 1.0 |
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#warmup_steps: 0 |
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#warmup_ratio: 0.025 |
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# === Data Configuration === |
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# |
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#chat_template: jinja |
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chat_template: chatml |
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special_tokens: |
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# eos_token: "<|im_end|>" |
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# eos_token: "</s>" |
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#tokenizer_use_mistral_common: true |
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shuffle_merged_datasets: true |
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datasets: |
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# - path: grimulkan/LimaRP-augmented |
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# type: chat_template |
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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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# - path: allenai/tulu-3-sft-personas-instruction-following |
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# type: chat_template |
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# split: train[:10%] |
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# - path: ToastyPigeon/mixed-medical-reasoning-formatted |
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# type: chat_template |
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# data_files: mixed-medical-thinking.json |
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# split: train[:10%] |
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# - path: ToastyPigeon/steve-and-marvin |
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# type: completion |
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# data_files: marvin.json |
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# - path: ToastyPigeon/kimi-stories-completion |
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# type: completion |
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# - path: ToastyPigeon/new-story-dataset |
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# type: customcompletion-regex |
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# type: completion |
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# data_files: new-story-dataset-v2.json |
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# - path: allura-org/fujin-instruct-v2 |
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# type: customchatml-regex |
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# type: chat_template |
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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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# - path: ToastyPigeon/some-rp-extended |
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# type: customchatml-regex |
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# type: chat_template |
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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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# roles_to_train: ["user","assistant"] |
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- path: allura-forge/koto-instruct-sft |
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# type: customchatml-regex |
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type: chat_template |
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split: train[50%:] |
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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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# - path: ToastyPigeon/SpringDragon |
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# type: customcompletion-regex |
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# type: completion |
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# split: train |
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# - path: ToastyPigeon/some-erotica |
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# type: customcompletion-regex |
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# type: completion |
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# split: train[:10%] |
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# - path: ToastyPigeon/tulu-mini |
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# type: chat_template |
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dataset_prepared_path: last_run_prepared |
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# === Plugins === |
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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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# === Hardware Optimization === |
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#gradient_checkpointing: true |
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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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cut_cross_entropy: true |
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#deepspeed: ../axolotl/deepspeed_configs/zero2.json |
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# === FSDP Config === |
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fsdp: |
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- full_shard |
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- auto_wrap |
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fsdp_config: |
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fsdp_limit_all_gathers: true |
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fsdp_sync_module_states: true |
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fsdp_offload_params: true |
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fsdp_activation_checkpointing: true |
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fsdp_use_orig_params: true |
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fsdp_cpu_ram_efficient_loading: true |
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fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP |
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fsdp_transformer_layer_cls_to_wrap: ApertusDecoderLayer |
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fsdp_state_dict_type: FULL_STATE_DICT |
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fsdp_sharding_strategy: FULL_SHARD |
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# === Checkpointing === |
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#save_steps: 10 |
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saves_per_epoch: 1 |
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save_total_limit: 1 |
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# === Advanced Settings === |
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bf16: auto |
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flash_attention: true |
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train_on_inputs: false |
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group_by_length: false |
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save_safetensors: true |
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logging_steps: 1 |
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gc_steps: 10 |
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seed: 69 |
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``` |
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</details><br> |
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# apertus/trained-again-instruct-o-down |
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This model was trained from scratch on the allura-forge/koto-instruct-sft dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9467 |
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- Memory/max Active (gib): 5.15 |
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- Memory/max Allocated (gib): 5.15 |
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- Memory/device Reserved (gib): 6.41 |
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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: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 69 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 2 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 12 |
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- training_steps: 516 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Active (gib) | Allocated (gib) | Reserved (gib) | |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:---------------:|:--------------:| |
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| No log | 0 | 0 | 1.0191 | 6.25 | 5.19 | 6.43 | |
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| 0.8751 | 0.1008 | 52 | 0.9954 | 5.15 | 5.15 | 6.41 | |
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| 1.0313 | 0.2016 | 104 | 0.9796 | 5.15 | 5.15 | 6.41 | |
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| 1.0144 | 0.3023 | 156 | 0.9677 | 5.15 | 5.15 | 6.41 | |
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| 1.0103 | 0.4031 | 208 | 0.9606 | 5.15 | 5.15 | 6.41 | |
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| 0.862 | 0.5039 | 260 | 0.9553 | 5.15 | 5.15 | 6.41 | |
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| 0.9892 | 0.6047 | 312 | 0.9512 | 5.15 | 5.15 | 6.41 | |
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| 1.0593 | 0.7054 | 364 | 0.9488 | 5.15 | 5.15 | 6.41 | |
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| 0.9527 | 0.8062 | 416 | 0.9474 | 5.15 | 5.15 | 6.41 | |
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| 0.8602 | 0.9070 | 468 | 0.9467 | 5.15 | 5.15 | 6.41 | |
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### Framework versions |
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- Transformers 4.56.1 |
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- Pytorch 2.7.1+cu126 |
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- Datasets 4.0.0 |
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- Tokenizers 0.22.1 |
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