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--- |
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license: gemma |
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library_name: peft |
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tags: |
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- axolotl |
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- generated_from_trainer |
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base_model: google/gemma-2b |
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model-index: |
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- name: isafpr-gemma-qlora-templatefree |
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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/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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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# use google/gemma-7b if you have access |
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base_model: google/gemma-2b |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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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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datasets: |
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- path: data/templatefree_isaf_press_releases_ft_train.jsonl |
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type: input_output |
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val_set_size: 0.1 |
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output_dir: ./outputs/gemma/qlora-out-templatefree |
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hub_model_id: strickvl/isafpr-gemma-qlora-templatefree |
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adapter: qlora |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_modules_to_save: |
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- embed_tokens |
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- lm_head |
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sequence_len: 1024 |
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sample_packing: true |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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wandb_project: isaf_pr_ft |
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wandb_entity: strickvl |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 3 |
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micro_batch_size: 2 |
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num_epochs: 4 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: true |
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warmup_ratio: 0.1 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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bos_token: "<s>" |
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eos_token: "</s>" |
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``` |
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</details><br> |
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# isafpr-gemma-qlora-templatefree |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0379 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 3 |
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- total_train_batch_size: 12 |
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- total_eval_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 64 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.3995 | 0.0054 | 1 | 2.3804 | |
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| 0.1051 | 0.2527 | 47 | 0.0906 | |
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| 0.0444 | 0.5054 | 94 | 0.0617 | |
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| 0.0292 | 0.7581 | 141 | 0.0490 | |
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| 0.1049 | 1.0108 | 188 | 0.0475 | |
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| 0.03 | 1.2419 | 235 | 0.0435 | |
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| 0.0219 | 1.4946 | 282 | 0.0411 | |
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| 0.0286 | 1.7473 | 329 | 0.0413 | |
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| 0.0403 | 2.0 | 376 | 0.0383 | |
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| 0.0274 | 2.2330 | 423 | 0.0386 | |
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| 0.0178 | 2.4857 | 470 | 0.0384 | |
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| 0.0272 | 2.7384 | 517 | 0.0378 | |
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| 0.0409 | 2.9910 | 564 | 0.0371 | |
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| 0.013 | 3.2240 | 611 | 0.0378 | |
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| 0.0177 | 3.4767 | 658 | 0.0380 | |
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| 0.018 | 3.7294 | 705 | 0.0379 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
