| | --- |
| | license: other |
| | library_name: peft |
| | tags: |
| | - generated_from_trainer |
| | base_model: intervitens/internlm2-limarp-chat-20b |
| | model-index: |
| | - name: outputs/qlora-out |
| | 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.4.0` |
| | ```yaml |
| | mlflow_tracking_uri: http://127.0.0.1:2340 |
| | mlflow_experiment_name: Default |
| | |
| | base_model: intervitens/internlm2-limarp-chat-20b |
| | model_type: AutoModelForCausalLM |
| | tokenizer_type: AutoTokenizer |
| | |
| | load_in_8bit: true |
| | load_in_4bit: false |
| | strict: false |
| | |
| | datasets: |
| | - path: ResplendentAI/Alpaca_NSFW_Shuffled |
| | type: alpaca |
| | - path: diffnamehard/toxic-dpo-v0.1-NoWarning-alpaca |
| | type: alpaca |
| | dataset_prepared_path: last_run_prepared |
| | val_set_size: 0.1 |
| | output_dir: ./outputs/qlora-out |
| | |
| | adapter: lora |
| | lora_model_dir: |
| | |
| | sequence_len: 8192 |
| | sample_packing: false |
| | pad_to_sequence_len: true |
| | |
| | lora_r: 32 |
| | lora_alpha: 16 |
| | lora_dropout: 0.05 |
| | lora_target_linear: true |
| | lora_fan_in_fan_out: |
| | lora_target_modules: |
| | - gate_proj |
| | - down_proj |
| | - up_proj |
| | - q_proj |
| | - v_proj |
| | - k_proj |
| | - o_proj |
| | |
| | wandb_project: |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 4 |
| | micro_batch_size: 2 |
| | num_epochs: 4 |
| | optimizer: adamw_bnb_8bit |
| | lr_scheduler: cosine |
| | learning_rate: 0.0002 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: false |
| | |
| | gradient_checkpointing: true |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | local_rank: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | |
| | loss_watchdog_threshold: 5.0 |
| | loss_watchdog_patience: 3 |
| | |
| | warmup_steps: 10 |
| | evals_per_epoch: 4 |
| | eval_table_size: |
| | eval_max_new_tokens: 128 |
| | saves_per_epoch: 1 |
| | debug: |
| | deepspeed: |
| | weight_decay: 0.0 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # outputs/qlora-out |
| |
|
| | This model is a fine-tuned version of [intervitens/internlm2-limarp-chat-20b](https://huggingface.co/intervitens/internlm2-limarp-chat-20b) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9868 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 7 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 56 |
| | - total_eval_batch_size: 14 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 10 |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.465 | 0.0476 | 1 | 1.4508 | |
| | | 1.3472 | 0.2857 | 6 | 1.4126 | |
| | | 1.1997 | 0.5714 | 12 | 1.1998 | |
| | | 1.0735 | 0.8571 | 18 | 1.1192 | |
| | | 1.077 | 1.1429 | 24 | 1.0703 | |
| | | 1.0478 | 1.4286 | 30 | 1.0410 | |
| | | 0.9997 | 1.7143 | 36 | 1.0259 | |
| | | 0.9696 | 2.0 | 42 | 1.0091 | |
| | | 0.8861 | 2.2857 | 48 | 1.0042 | |
| | | 0.8961 | 2.5714 | 54 | 0.9928 | |
| | | 0.8615 | 2.8571 | 60 | 0.9889 | |
| | | 0.8603 | 3.1429 | 66 | 0.9860 | |
| | | 0.7825 | 3.4286 | 72 | 0.9877 | |
| | | 0.9228 | 3.7143 | 78 | 0.9860 | |
| | | 0.8684 | 4.0 | 84 | 0.9868 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.10.0 |
| | - Transformers 4.40.2 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
