| --- |
| library_name: peft |
| license: apache-2.0 |
| base_model: internlm/internlm3-8b-instruct |
| tags: |
| - axolotl |
| - generated_from_trainer |
| datasets: |
| - ToastyPigeon/some-rp |
| - BeaverAI/cedo-unalignment |
| - BeaverAI/foundRP |
| - PocketDoc/Dans-Prosemaxx-Gutenberg |
| - ToastyPigeon/SpringDragon-Instruct |
| - allenai/tulu-3-sft-personas-instruction-following |
| - allura-org/fujin-cleaned-stage-2 |
| model-index: |
| - name: intern-rp-lora |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| [<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) |
| <details><summary>See axolotl config</summary> |
|
|
| axolotl version: `0.6.0` |
| ```yaml |
| # git clone https://github.com/axolotl-ai-cloud/axolotl |
| # cd axolotl |
| # git checkout bd2a594b8954103719f8d1ef739e2c3267ca36f6 |
| # pip3 install packaging ninja huggingface_hub[cli] |
| # pip3 install -e '.[flash-attn,deepspeed]' |
| # huggingface-cli login --token $hf_key && wandb login $wandb_key |
| # python -m axolotl.cli.preprocess intern-rp-test-human.yml |
| # accelerate launch -m axolotl.cli.train intern-rp-test-human.yml |
| # python -m axolotl.cli.merge_lora qwen-rp-test-human.yml |
| # huggingface-cli upload ToastyPigeon/tqi-some-rp-40 train-workspace/merged . --exclude "*.md" |
| # sleep 10h; runpodctl stop pod $RUNPOD_POD_ID & |
| |
| # 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 |
| |
| # Model |
| base_model: internlm/internlm3-8b-instruct |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| trust_remote_code: true |
| |
| load_in_8bit: false |
| load_in_4bit: true |
| strict: false |
| bf16: true |
| fp16: |
| tf32: false |
| flash_attention: true |
| special_tokens: |
| |
| # Output |
| output_dir: ./train-workspace |
| hub_model_id: ToastyPigeon/intern-rp-lora |
| hub_strategy: "all_checkpoints" |
| auto_resume_from_checkpoint: true |
| #resume_from_checkpoint: ./train-workspace/checkpoint-304 |
| saves_per_epoch: 2 |
| save_total_limit: 4 |
| |
| # Data |
| sequence_len: 8192 # fits |
| min_sample_len: 128 |
| chat_template: chatml |
| dataset_prepared_path: last_run_prepared |
| datasets: |
| - path: ToastyPigeon/some-rp |
| type: chat_template |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| #train_on_inputs: true |
| - path: BeaverAI/cedo-unalignment |
| type: chat_template |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| - path: BeaverAI/foundRP |
| type: chat_template |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| split: train[:1000] |
| - path: PocketDoc/Dans-Prosemaxx-Gutenberg |
| type: chat_template |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| - path: ToastyPigeon/SpringDragon-Instruct |
| type: chat_template |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| split: train[:500] |
| - path: allenai/tulu-3-sft-personas-instruction-following |
| type: chat_template |
| field_messages: messages |
| message_field_role: role |
| message_field_content: content |
| split: train[:500] |
| - path: allura-org/fujin-cleaned-stage-2 |
| type: completion |
| field: text |
| split: train[:500] |
| warmup_steps: 20 |
| shuffle_merged_datasets: true |
| sample_packing: true |
| pad_to_sequence_len: true |
| |
| # Batching |
| num_epochs: 2 |
| gradient_accumulation_steps: 1 |
| micro_batch_size: 1 |
| eval_batch_size: 1 |
| |
| # Evaluation |
| val_set_size: 100 |
| evals_per_epoch: 10 |
| eval_table_size: |
| eval_max_new_tokens: 256 |
| eval_sample_packing: false |
| |
| save_safetensors: true |
| |
| # WandB |
| wandb_project: Intern-Rp-Test |
| #wandb_entity: |
| |
| gradient_checkpointing: 'unsloth' |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| |
| unsloth_cross_entropy_loss: true |
| #unsloth_lora_mlp: true |
| #unsloth_lora_qkv: true |
| #unsloth_lora_o: true |
| |
| # LoRA |
| adapter: qlora |
| lora_r: 32 |
| lora_alpha: 64 |
| lora_dropout: 0.25 |
| lora_target_linear: true |
| lora_target_modules: |
| - gate_proj |
| - down_proj |
| - up_proj |
| - q_proj |
| - v_proj |
| - k_proj |
| - o_proj |
| lora_modules_to_save: |
| #peft_use_rslora: true |
| #loraplus_lr_ratio: 8 |
| |
| # Optimizer |
| optimizer: paged_ademamix_8bit |
| lr_scheduler: cosine |
| learning_rate: 3e-5 |
| cosine_min_lr_ratio: 0.1 |
| weight_decay: 0.01 |
| max_grad_norm: 1.0 |
| |
| # Misc |
| train_on_inputs: false |
| group_by_length: false |
| early_stopping_patience: |
| local_rank: |
| logging_steps: 1 |
| xformers_attention: |
| #debug: |
| deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json # previously blank |
| fsdp: |
| fsdp_config: |
| |
| plugins: |
| - axolotl.integrations.liger.LigerPlugin |
| liger_rope: true |
| liger_rms_norm: true |
| liger_layer_norm: true |
| liger_glu_activation: true |
| liger_fused_linear_cross_entropy: true |
| |
| gc_steps: 10 |
| seed: 69 |
| ``` |
|
|
| </details><br> |
|
|
| # intern-rp-lora |
|
|
| 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. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7197 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 69 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - total_train_batch_size: 4 |
| - total_eval_batch_size: 4 |
| - optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are: |
| No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 20 |
| - num_epochs: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 2.2794 | 0.0013 | 1 | 1.8317 | |
| | 1.6416 | 0.1 | 75 | 1.7826 | |
| | 2.3547 | 0.2 | 150 | 1.7643 | |
| | 1.9114 | 0.3 | 225 | 1.7546 | |
| | 2.0004 | 0.4 | 300 | 1.7474 | |
| | 2.2052 | 0.5 | 375 | 1.7428 | |
| | 1.9314 | 0.6 | 450 | 1.7377 | |
| | 2.202 | 0.7 | 525 | 1.7350 | |
| | 2.2453 | 0.8 | 600 | 1.7303 | |
| | 1.8392 | 0.9 | 675 | 1.7283 | |
| | 1.7018 | 1.0 | 750 | 1.7271 | |
| | 1.9736 | 1.0987 | 825 | 1.7264 | |
| | 2.0917 | 1.1987 | 900 | 1.7245 | |
| | 1.5679 | 1.2987 | 975 | 1.7239 | |
| | 2.0799 | 1.3987 | 1050 | 1.7225 | |
| | 1.8398 | 1.4987 | 1125 | 1.7220 | |
| | 1.9806 | 1.5987 | 1200 | 1.7211 | |
| | 1.7334 | 1.6987 | 1275 | 1.7209 | |
| | 2.1457 | 1.7987 | 1350 | 1.7205 | |
| | 1.7804 | 1.8987 | 1425 | 1.7202 | |
| | 2.1652 | 1.9987 | 1500 | 1.7197 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.14.0 |
| - Transformers 4.47.1 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
