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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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- NewEden/Helpsteer-3-Filtered |
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- NewEden/GSM8K-R1-filtered |
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- NewEden/Hydrus-R1-Thinking-Sharegpt |
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- NewEden/Hydrus-SonnetOrca |
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- NewEden/Hydrus-HelpSteer2 |
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- NewEden/Claude-Instruct-5K |
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- PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
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- Nitral-AI/ARES-ShareGPT |
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- NewEden/Hydrus-Instruct-SmolTalk |
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- NewEden/Hydrus-Chat_error-Pure-Dove-sharegpt |
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- NewEden/Claude-Instruct-2.7K |
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- PocketDoc/Dans-Assistantmaxx-Tulu3-IF |
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model-index: |
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- name: 4b-inst |
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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.dev0` |
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```yaml |
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base_model: NewEden_4B-PT |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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#hub_model_id: NewEden/4B-Inst |
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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: false |
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strict: false |
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datasets: |
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- path: NewEden/Helpsteer-3-Filtered |
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type: dan-chat-advanced |
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- path: NewEden/GSM8K-R1-filtered |
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type: dan-chat-advanced |
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- path: NewEden/Hydrus-R1-Thinking-Sharegpt |
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type: dan-chat-advanced |
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- path: NewEden/Hydrus-SonnetOrca |
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type: dan-chat-advanced |
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- path: NewEden/Hydrus-HelpSteer2 |
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type: dan-chat-advanced |
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- path: NewEden/Claude-Instruct-5K |
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type: dan-chat-advanced |
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- path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small |
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type: dan-chat-advanced |
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- path: Nitral-AI/ARES-ShareGPT |
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type: dan-chat-advanced |
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- path: NewEden/Hydrus-Instruct-SmolTalk |
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type: dan-chat-advanced |
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- path: NewEden/Hydrus-Chat_error-Pure-Dove-sharegpt |
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type: dan-chat-advanced |
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- path: NewEden/Claude-Instruct-2.7K |
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type: dan-chat-advanced |
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- path: PocketDoc/Dans-Assistantmaxx-Tulu3-IF |
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type: dan-chat-advanced |
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dataset_prepared_path: prepared_data |
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val_set_size: 0.0 |
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output_dir: ./4b-inst |
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sequence_len: 16384 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: 4B-mng |
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wandb_entity: |
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wandb_watch: |
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wandb_name: attempt-1 |
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wandb_log_model: |
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gradient_accumulation_steps: 2 |
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micro_batch_size: 1 |
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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: 2e-5 |
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max_grad_norm: 0.2 |
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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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warmup_steps: 40 |
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saves_per_epoch: 2 |
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debug: |
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deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json |
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weight_decay: 0.02 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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pad_token: <|finetune_right_pad_id|> |
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``` |
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</details><br> |
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# 4b-inst |
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This model was trained from scratch on the NewEden/Helpsteer-3-Filtered, the NewEden/GSM8K-R1-filtered, the NewEden/Hydrus-R1-Thinking-Sharegpt, the NewEden/Hydrus-SonnetOrca, the NewEden/Hydrus-HelpSteer2, the NewEden/Claude-Instruct-5K, the PocketDoc/Dans-MemoryCore-CoreCurriculum-Small, the Nitral-AI/ARES-ShareGPT, the NewEden/Hydrus-Instruct-SmolTalk, the NewEden/Hydrus-Chat_error-Pure-Dove-sharegpt, the NewEden/Claude-Instruct-2.7K and the PocketDoc/Dans-Assistantmaxx-Tulu3-IF datasets. |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- total_eval_batch_size: 4 |
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- optimizer: Use OptimizerNames.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: 40 |
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- num_epochs: 2.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.49.0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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