| --- |
| library_name: transformers |
| base_model: OpenMeditron/Meditron3-8B |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: mloscratch/homes/bbernath/meditron_instruct/instruction_tuned_model_with_ml4science_data |
| 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: `0.4.0` |
| ```yaml |
| base_model: OpenMeditron/Meditron3-8B |
| bf16: auto |
| output_dir: /mloscratch/homes/bbernath/meditron_instruct/instruction_tuned_model_with_ml4science_data |
| chat_template: llama3 |
| datasets: |
| - path: /mloscratch/homes/bbernath/meditron_instruct/datasets/mixtures/Instruction_tuning_mixture.jsonl |
| type: chat_template |
| ds_type: json |
| split: train |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| - path: /mloscratch/homes/bbernath/meditron_instruct/datasets/replay_data/datasets/pubmed_3B.jsonl |
| type: completion |
| ds_type: json |
| field: text |
| sample_ratio: 0.1 |
| - path: /mloscratch/homes/bbernath/meditron_instruct/datasets/replay_data/datasets/amboss_article.jsonl |
| type: completion |
| ds_type: json |
| field: text |
| - path: /mloscratch/homes/bbernath/meditron_instruct/datasets/replay_data/datasets/medmcqa.jsonl |
| type: chat_template |
| ds_type: json |
| split: train |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| sample_ratio: 0.5 |
| - path: /mloscratch/homes/bbernath/meditron_instruct/datasets/replay_data/datasets/pubmedqa.jsonl |
| type: chat_template |
| ds_type: json |
| split: train |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| sample_ratio: 0.2 |
| - path: /mloscratch/homes/bbernath/meditron_instruct/datasets/replay_data/datasets/medqa.jsonl |
| type: chat_template |
| ds_type: json |
| split: train |
| field_messages: conversations |
| message_field_role: from |
| message_field_content: value |
| shuffle_merged_datasets: true |
| dataset_processes: 64 |
| flash_attention: true |
| sequence_len: 8192 |
| gradient_accumulation_steps: 2 |
| micro_batch_size: 2 |
| train_on_inputs: false |
| group_by_length: false |
| pad_to_sequence_len: true |
| sample_packing: true |
| optimizer: adamw_torch |
| optim_args: |
| fused: true |
| cosine_min_lr_ratio: 0.1 |
| learning_rate: 1.0e-5 |
| warmup_ratio: 0.0 |
| weight_decay: 0.05 |
| gradient_checkpointing: true |
| gradient_checkpointing_kwargs: |
| use_reentrant: false |
| load_in_4bit: false |
| load_in_8bit: false |
| logging_steps: 1 |
| num_epochs: 1 |
| # saves_per_epoch: 1 |
| # evals_per_epoch: 2 |
| eval_set_size: 0.0 |
| eval_table_size: null |
| lr_scheduler: cosine |
| max_grad_norm: 1.0 |
| resume_from_checkpoint: null |
| special_tokens: |
| pad_token: <|end_of_text|> |
| tf32: false |
| tokenizer_type: AutoTokenizer |
| type: LlamaForCausalLM |
| seed: 42 |
| flash_attn_rms_norm: true |
| flash_attn_fuse_qkv: false |
| early_stopping_patience: 0 |
| eval_steps: 3000 |
| save_steps: 3000 |
| load_best_model_at_end: true |
| xformers_attention: null |
| distributed: |
| world_size: 5 |
| backend: nccl |
| deepspeed: /mloscratch/homes/bbernath/meditron_instruct/axolotl_config/ds_config.json |
| |
| wandb_project: Meditron DDX |
| wandb_entity: alexs-team |
| wandb_name: Instruction_tune_Meditron_8b_with_ML4Science_dataset_10000_first_try |
| ``` |
|
|
| </details><br> |
|
|
| # mloscratch/homes/bbernath/meditron_instruct/instruction_tuned_model_with_ml4science_data |
|
|
| This model is a fine-tuned version of [OpenMeditron/Meditron3-8B](https://huggingface.co/OpenMeditron/Meditron3-8B) on the None dataset. |
|
|
| ## 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-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 6 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 24 |
| - total_eval_batch_size: 12 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=fused=True |
| - lr_scheduler_type: cosine |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.46.1 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.3 |
|
|
