| --- |
| 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 | |
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|
|
| ### Framework versions |
|
|
| - Transformers 4.33.0.dev0 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
|
|
