| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: LLAMA_2_chkpoint_workshop |
| | 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. --> |
| |
|
| | # LLAMA_2_chkpoint_workshop |
| | |
| | This model was trained from scratch on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.2368 |
| | |
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant |
| | - lr_scheduler_warmup_ratio: 0.03 |
| | - num_epochs: 1 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.243 | 0.08 | 200 | 1.2715 | |
| | | 1.2144 | 0.16 | 400 | 1.2597 | |
| | | 1.2262 | 0.24 | 600 | 1.2551 | |
| | | 1.2198 | 0.32 | 800 | 1.2511 | |
| | | 1.2053 | 0.41 | 1000 | 1.2482 | |
| | | 1.2206 | 0.49 | 1200 | 1.2466 | |
| | | 1.2078 | 0.57 | 1400 | 1.2427 | |
| | | 1.2077 | 0.65 | 1600 | 1.2415 | |
| | | 1.2359 | 0.73 | 1800 | 1.2403 | |
| | | 1.1679 | 0.81 | 2000 | 1.2389 | |
| | | 1.205 | 0.89 | 2200 | 1.2373 | |
| | | 1.1925 | 0.97 | 2400 | 1.2368 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.0.dev0 |
| | - Pytorch 2.0.0+cu118 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| |
|
