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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: internlm/internlm3-8b-instruct |
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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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- ToastyPigeon/some-rp |
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- BeaverAI/cedo-unalignment |
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- BeaverAI/foundRP |
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- PocketDoc/Dans-Prosemaxx-Gutenberg |
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- ToastyPigeon/SpringDragon-Instruct |
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- allenai/tulu-3-sft-personas-instruction-following |
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- allura-org/fujin-cleaned-stage-2 |
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model-index: |
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- name: intern-rp-lora |
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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: `0.6.0` |
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```yaml |
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# git clone https://github.com/axolotl-ai-cloud/axolotl |
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# cd axolotl |
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# git checkout bd2a594b8954103719f8d1ef739e2c3267ca36f6 |
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# pip3 install packaging ninja huggingface_hub[cli] |
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# pip3 install -e '.[flash-attn,deepspeed]' |
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# huggingface-cli login --token $hf_key && wandb login $wandb_key |
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# python -m axolotl.cli.preprocess intern-rp-test-human.yml |
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# accelerate launch -m axolotl.cli.train intern-rp-test-human.yml |
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# python -m axolotl.cli.merge_lora qwen-rp-test-human.yml |
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# huggingface-cli upload ToastyPigeon/tqi-some-rp-40 train-workspace/merged . --exclude "*.md" |
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# sleep 10h; runpodctl stop pod $RUNPOD_POD_ID & |
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# git clone https://github.com/axolotl-ai-cloud/axolotl && cd axolotl && pip3 install packaging ninja huggingface_hub[cli] && pip3 install -e '.[flash-attn,deepspeed]' && cd .. && huggingface-cli login --token $hf_key && wandb login $wandb_key |
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# Model |
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base_model: internlm/internlm3-8b-instruct |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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trust_remote_code: true |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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bf16: true |
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fp16: |
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tf32: false |
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flash_attention: true |
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special_tokens: |
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# Output |
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output_dir: ./train-workspace |
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hub_model_id: ToastyPigeon/intern-rp-lora |
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hub_strategy: "all_checkpoints" |
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auto_resume_from_checkpoint: true |
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#resume_from_checkpoint: ./train-workspace/checkpoint-304 |
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saves_per_epoch: 2 |
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save_total_limit: 4 |
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# Data |
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sequence_len: 8192 # fits |
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min_sample_len: 128 |
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chat_template: chatml |
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dataset_prepared_path: last_run_prepared |
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datasets: |
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- path: ToastyPigeon/some-rp |
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type: chat_template |
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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_inputs: true |
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- path: BeaverAI/cedo-unalignment |
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type: chat_template |
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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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- path: BeaverAI/foundRP |
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type: chat_template |
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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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split: train[:1000] |
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- path: PocketDoc/Dans-Prosemaxx-Gutenberg |
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type: chat_template |
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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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- path: ToastyPigeon/SpringDragon-Instruct |
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type: chat_template |
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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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split: train[:500] |
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- path: allenai/tulu-3-sft-personas-instruction-following |
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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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split: train[:500] |
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- path: allura-org/fujin-cleaned-stage-2 |
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type: completion |
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field: text |
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split: train[:500] |
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warmup_steps: 20 |
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shuffle_merged_datasets: true |
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sample_packing: true |
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pad_to_sequence_len: true |
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# Batching |
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num_epochs: 2 |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 1 |
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eval_batch_size: 1 |
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# Evaluation |
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val_set_size: 100 |
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evals_per_epoch: 10 |
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eval_table_size: |
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eval_max_new_tokens: 256 |
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eval_sample_packing: false |
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save_safetensors: true |
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# WandB |
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wandb_project: Intern-Rp-Test |
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#wandb_entity: |
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gradient_checkpointing: 'unsloth' |
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gradient_checkpointing_kwargs: |
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use_reentrant: false |
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unsloth_cross_entropy_loss: true |
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#unsloth_lora_mlp: true |
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#unsloth_lora_qkv: true |
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#unsloth_lora_o: true |
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# LoRA |
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adapter: qlora |
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lora_r: 32 |
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lora_alpha: 64 |
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lora_dropout: 0.25 |
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lora_target_linear: true |
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lora_target_modules: |
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- gate_proj |
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- down_proj |
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- up_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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lora_modules_to_save: |
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#peft_use_rslora: true |
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#loraplus_lr_ratio: 8 |
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# Optimizer |
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optimizer: paged_ademamix_8bit |
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lr_scheduler: cosine |
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learning_rate: 3e-5 |
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cosine_min_lr_ratio: 0.1 |
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weight_decay: 0.01 |
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max_grad_norm: 1.0 |
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# Misc |
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train_on_inputs: false |
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group_by_length: false |
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early_stopping_patience: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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#debug: |
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deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json # previously blank |
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fsdp: |
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fsdp_config: |
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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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gc_steps: 10 |
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seed: 69 |
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``` |
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</details><br> |
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# intern-rp-lora |
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This model is a fine-tuned version of [internlm/internlm3-8b-instruct](https://huggingface.co/internlm/internlm3-8b-instruct) on the ToastyPigeon/some-rp, the BeaverAI/cedo-unalignment, the BeaverAI/foundRP, the PocketDoc/Dans-Prosemaxx-Gutenberg, the ToastyPigeon/SpringDragon-Instruct, the allenai/tulu-3-sft-personas-instruction-following and the allura-org/fujin-cleaned-stage-2 datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7197 |
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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: 3e-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: 4 |
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- total_train_batch_size: 4 |
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- total_eval_batch_size: 4 |
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- optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are: |
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No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 20 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.2794 | 0.0013 | 1 | 1.8317 | |
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| 1.6416 | 0.1 | 75 | 1.7826 | |
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| 2.3547 | 0.2 | 150 | 1.7643 | |
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| 1.9114 | 0.3 | 225 | 1.7546 | |
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| 2.0004 | 0.4 | 300 | 1.7474 | |
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| 2.2052 | 0.5 | 375 | 1.7428 | |
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| 1.9314 | 0.6 | 450 | 1.7377 | |
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| 2.202 | 0.7 | 525 | 1.7350 | |
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| 2.2453 | 0.8 | 600 | 1.7303 | |
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| 1.8392 | 0.9 | 675 | 1.7283 | |
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| 1.7018 | 1.0 | 750 | 1.7271 | |
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| 1.9736 | 1.0987 | 825 | 1.7264 | |
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| 2.0917 | 1.1987 | 900 | 1.7245 | |
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| 1.5679 | 1.2987 | 975 | 1.7239 | |
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| 2.0799 | 1.3987 | 1050 | 1.7225 | |
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| 1.8398 | 1.4987 | 1125 | 1.7220 | |
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| 1.9806 | 1.5987 | 1200 | 1.7211 | |
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| 1.7334 | 1.6987 | 1275 | 1.7209 | |
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| 2.1457 | 1.7987 | 1350 | 1.7205 | |
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| 1.7804 | 1.8987 | 1425 | 1.7202 | |
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| 2.1652 | 1.9987 | 1500 | 1.7197 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
