| --- |
| license: gemma |
| base_model: google/gemma-2-2b |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| model-index: |
| - name: tmp |
| 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. --> |
|
|
| # tmp |
|
|
| This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2020 |
| - Num Input Tokens Seen: 360368 |
|
|
| ## 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: 8e-06 |
| - train_batch_size: 8 |
| - eval_batch_size: 16 |
| - seed: 0 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant_with_warmup |
| - lr_scheduler_warmup_ratio: 0.025 |
| - training_steps: 50 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
| |:-------------:|:-----:|:----:|:---------------:|:-----------------:| |
| | No log | 0 | 0 | 1.3956 | 0 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.44.0 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
|
|
