| | --- |
| | base_model: google/gemma-2-2b-it |
| | library_name: peft |
| | license: gemma |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: Gemma-2b-MultiCap |
| | 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. --> |
| |
|
| | # Gemma-2b-MultiCap |
| |
|
| | This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5983 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 32 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - training_steps: 600 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.8045 | 0.0564 | 50 | 0.8067 | |
| | | 0.7271 | 0.1128 | 100 | 0.6777 | |
| | | 0.688 | 0.1692 | 150 | 0.6309 | |
| | | 0.6268 | 0.2256 | 200 | 0.6176 | |
| | | 0.572 | 0.2820 | 250 | 0.6118 | |
| | | 0.5864 | 0.3384 | 300 | 0.6065 | |
| | | 0.5528 | 0.3948 | 350 | 0.6030 | |
| | | 0.5396 | 0.4512 | 400 | 0.6015 | |
| | | 0.5726 | 0.5076 | 450 | 0.6005 | |
| | | 0.5655 | 0.5640 | 500 | 0.5997 | |
| | | 0.5712 | 0.6204 | 550 | 0.5988 | |
| | | 0.5213 | 0.6768 | 600 | 0.5983 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.12.0 |
| | - Transformers 4.44.2 |
| | - Pytorch 2.4.0+cu124 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.19.1 |
