| | --- |
| | license: apache-2.0 |
| | base_model: mistralai/Mistral-Nemo-Base-2407 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: home/peterjin/axolotl_output/nq_mmlu_wow_fever_50000_rationale-e5-mistral-nemo-epoch4-lr1e-6-eos-new |
| | 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: `0.4.1` |
| | ```yaml |
| | base_model: mistralai/Mistral-Nemo-Base-2407 |
| | model_type: AutoModelForCausalLM |
| | tokenizer_type: AutoTokenizer |
| | |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | # mistral and gemma share the same format of training data |
| | chat_template: mistral |
| | datasets: |
| | - path: /home/peterjin/mnt/axolotl_train/nq_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl |
| | ds_type: json |
| | type: chat_template |
| | chat_template: mistral |
| | field_messages: messages |
| | message_field_role: role |
| | message_field_content: content |
| | roles: |
| | user: |
| | - user |
| | assistant: |
| | - assistant |
| | - path: /home/peterjin/mnt/axolotl_train/mmlu_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl |
| | ds_type: json |
| | type: chat_template |
| | chat_template: mistral |
| | field_messages: messages |
| | message_field_role: role |
| | message_field_content: content |
| | roles: |
| | user: |
| | - user |
| | assistant: |
| | - assistant |
| | - path: /home/peterjin/mnt/axolotl_train/wow_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl |
| | ds_type: json |
| | type: chat_template |
| | chat_template: mistral |
| | field_messages: messages |
| | message_field_role: role |
| | message_field_content: content |
| | roles: |
| | user: |
| | - user |
| | assistant: |
| | - assistant |
| | - path: /home/peterjin/mnt/axolotl_train/fever_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl |
| | ds_type: json |
| | type: chat_template |
| | chat_template: mistral |
| | field_messages: messages |
| | message_field_role: role |
| | message_field_content: content |
| | roles: |
| | user: |
| | - user |
| | assistant: |
| | - assistant |
| | |
| | dataset_prepared_path: last_run_prepared |
| | val_set_size: 0.05 |
| | output_dir: /home/peterjin/axolotl_output/nq_mmlu_wow_fever_50000_rationale-e5-mistral-nemo-epoch4-lr1e-6-eos-new |
| | |
| | sequence_len: 8192 # 24576 can be supported by 8 h100s, |
| | sample_packing: false |
| | eval_sample_packing: false |
| | pad_to_sequence_len: true |
| | |
| | wandb_project: RAG-tune-llm |
| | wandb_entity: uiuc-dmg |
| | wandb_watch: |
| | wandb_name: nq_mmlu_wow_fever_50000_rationale-e5-mistral-nemo-epoch4-lr1e-6-eos-new |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 8 |
| | micro_batch_size: 1 |
| | num_epochs: 4 |
| | optimizer: adamw_bnb_8bit |
| | lr_scheduler: cosine |
| | learning_rate: 1e-6 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: false |
| | |
| | gradient_checkpointing: true |
| | gradient_checkpointing_kwargs: |
| | use_reentrant: false |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | |
| | warmup_ratio: 0.05 |
| | evals_per_epoch: 1 |
| | eval_table_size: |
| | saves_per_epoch: 1 |
| | save_total_limit: 10 |
| | debug: |
| | deepspeed: |
| | weight_decay: 0.0 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | pad_token: </s> |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # home/peterjin/axolotl_output/nq_mmlu_wow_fever_50000_rationale-e5-mistral-nemo-epoch4-lr1e-6-eos-new |
| |
|
| | This model is a fine-tuned version of [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6141 |
| |
|
| | ## 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: 1e-06 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 64 |
| | - total_eval_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 148 |
| | - num_epochs: 4 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.3935 | 0.0013 | 1 | 1.3820 | |
| | | 0.5652 | 0.9997 | 741 | 0.5765 | |
| | | 0.5178 | 1.9993 | 1482 | 0.5643 | |
| | | 0.4026 | 2.9990 | 2223 | 0.5871 | |
| | | 0.3487 | 3.9987 | 2964 | 0.6141 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0.dev0 |
| | - Pytorch 2.3.1 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| | |
