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# llama_2_13b_downproj_alpaca_r8_lr0.0001_bg8_run2

This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7637

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.02
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3572        | 0.01  | 33   | 0.8648          |
| 0.835         | 0.02  | 66   | 0.8072          |
| 0.8116        | 0.03  | 99   | 0.7967          |
| 0.7826        | 0.04  | 132  | 0.7910          |
| 0.7846        | 0.05  | 165  | 0.7859          |
| 0.7915        | 0.06  | 198  | 0.7855          |
| 0.8158        | 0.07  | 231  | 0.7822          |
| 0.7832        | 0.08  | 264  | 0.7810          |
| 0.7861        | 0.09  | 297  | 0.7791          |
| 0.7872        | 0.1   | 330  | 0.7794          |
| 0.7959        | 0.11  | 363  | 0.7777          |
| 0.8027        | 0.12  | 396  | 0.7773          |
| 0.7809        | 0.13  | 429  | 0.7762          |
| 0.7921        | 0.14  | 462  | 0.7753          |
| 0.8011        | 0.15  | 495  | 0.7755          |
| 0.7949        | 0.16  | 528  | 0.7766          |
| 0.7717        | 0.17  | 561  | 0.7731          |
| 0.7787        | 0.18  | 594  | 0.7734          |
| 0.7905        | 0.19  | 627  | 0.7747          |
| 0.7781        | 0.21  | 660  | 0.7733          |
| 0.8071        | 0.22  | 693  | 0.7745          |
| 0.7935        | 0.23  | 726  | 0.7729          |
| 0.7424        | 0.24  | 759  | 0.7731          |
| 0.8043        | 0.25  | 792  | 0.7733          |
| 0.7693        | 0.26  | 825  | 0.7715          |
| 0.7804        | 0.27  | 858  | 0.7725          |
| 0.7588        | 0.28  | 891  | 0.7717          |
| 0.7815        | 0.29  | 924  | 0.7720          |
| 0.7835        | 0.3   | 957  | 0.7710          |
| 0.7861        | 0.31  | 990  | 0.7717          |
| 0.765         | 0.32  | 1023 | 0.7704          |
| 0.7764        | 0.33  | 1056 | 0.7699          |
| 0.7846        | 0.34  | 1089 | 0.7704          |
| 0.764         | 0.35  | 1122 | 0.7696          |
| 0.7834        | 0.36  | 1155 | 0.7706          |
| 0.7487        | 0.37  | 1188 | 0.7698          |
| 0.7782        | 0.38  | 1221 | 0.7700          |
| 0.781         | 0.39  | 1254 | 0.7694          |
| 0.788         | 0.4   | 1287 | 0.7704          |
| 0.7773        | 0.41  | 1320 | 0.7690          |
| 0.7847        | 0.42  | 1353 | 0.7697          |
| 0.7615        | 0.43  | 1386 | 0.7694          |
| 0.773         | 0.44  | 1419 | 0.7686          |
| 0.7846        | 0.45  | 1452 | 0.7683          |
| 0.7573        | 0.46  | 1485 | 0.7684          |
| 0.7856        | 0.47  | 1518 | 0.7678          |
| 0.77          | 0.48  | 1551 | 0.7678          |
| 0.7879        | 0.49  | 1584 | 0.7675          |
| 0.7914        | 0.5   | 1617 | 0.7669          |
| 0.7802        | 0.51  | 1650 | 0.7671          |
| 0.7661        | 0.52  | 1683 | 0.7675          |
| 0.7787        | 0.53  | 1716 | 0.7671          |
| 0.7694        | 0.54  | 1749 | 0.7674          |
| 0.7661        | 0.55  | 1782 | 0.7674          |
| 0.7662        | 0.56  | 1815 | 0.7664          |
| 0.7667        | 0.57  | 1848 | 0.7658          |
| 0.7781        | 0.58  | 1881 | 0.7666          |
| 0.7747        | 0.59  | 1914 | 0.7660          |
| 0.779         | 0.6   | 1947 | 0.7662          |
| 0.7793        | 0.62  | 1980 | 0.7662          |
| 0.7552        | 0.63  | 2013 | 0.7659          |
| 0.7798        | 0.64  | 2046 | 0.7662          |
| 0.7699        | 0.65  | 2079 | 0.7651          |
| 0.7699        | 0.66  | 2112 | 0.7652          |
| 0.7626        | 0.67  | 2145 | 0.7651          |
| 0.7782        | 0.68  | 2178 | 0.7653          |
| 0.79          | 0.69  | 2211 | 0.7658          |
| 0.7796        | 0.7   | 2244 | 0.7648          |
| 0.7554        | 0.71  | 2277 | 0.7645          |
| 0.7647        | 0.72  | 2310 | 0.7647          |
| 0.785         | 0.73  | 2343 | 0.7651          |
| 0.7801        | 0.74  | 2376 | 0.7646          |
| 0.7678        | 0.75  | 2409 | 0.7650          |
| 0.8049        | 0.76  | 2442 | 0.7648          |
| 0.7582        | 0.77  | 2475 | 0.7643          |
| 0.7745        | 0.78  | 2508 | 0.7645          |
| 0.7776        | 0.79  | 2541 | 0.7645          |
| 0.7656        | 0.8   | 2574 | 0.7644          |
| 0.7779        | 0.81  | 2607 | 0.7644          |
| 0.7961        | 0.82  | 2640 | 0.7644          |
| 0.7798        | 0.83  | 2673 | 0.7640          |
| 0.7867        | 0.84  | 2706 | 0.7641          |
| 0.778         | 0.85  | 2739 | 0.7640          |
| 0.7688        | 0.86  | 2772 | 0.7641          |
| 0.7883        | 0.87  | 2805 | 0.7641          |
| 0.7609        | 0.88  | 2838 | 0.7639          |
| 0.7762        | 0.89  | 2871 | 0.7640          |
| 0.7744        | 0.9   | 2904 | 0.7639          |
| 0.74          | 0.91  | 2937 | 0.7640          |
| 0.7709        | 0.92  | 2970 | 0.7637          |
| 0.7844        | 0.93  | 3003 | 0.7637          |
| 0.7909        | 0.94  | 3036 | 0.7637          |
| 0.7886        | 0.95  | 3069 | 0.7637          |
| 0.7628        | 0.96  | 3102 | 0.7638          |
| 0.7685        | 0.97  | 3135 | 0.7639          |
| 0.7569        | 0.98  | 3168 | 0.7640          |
| 0.7864        | 0.99  | 3201 | 0.7637          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.5.2
- Tokenizers 0.14.1

{"tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-13b-hf", "model-index": [{"name": "llama_2_13b_downproj_alpaca_r8_lr0.0001_bg8_run2", "results": []}]}
safetensors generated_from_trainer base_model:meta-llama/Llama-2-13b-hf region:us