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# llama_2_13b_downproj_alpaca_r8_lr0.0001_bg2

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: 0.7482

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3639        | 0.01  | 33   | 0.8482          |
| 0.8628        | 0.02  | 66   | 0.7919          |
| 0.8283        | 0.03  | 99   | 0.7833          |
| 0.8503        | 0.04  | 132  | 0.7758          |
| 0.8215        | 0.05  | 165  | 0.7723          |
| 0.8205        | 0.06  | 198  | 0.7723          |
| 0.8196        | 0.07  | 231  | 0.7710          |
| 0.8156        | 0.08  | 264  | 0.7678          |
| 0.8047        | 0.09  | 297  | 0.7663          |
| 0.8028        | 0.1   | 330  | 0.7649          |
| 0.8183        | 0.11  | 363  | 0.7662          |
| 0.8223        | 0.12  | 396  | 0.7644          |
| 0.8255        | 0.13  | 429  | 0.7631          |
| 0.8215        | 0.14  | 462  | 0.7612          |
| 0.815         | 0.15  | 495  | 0.7607          |
| 0.8185        | 0.16  | 528  | 0.7601          |
| 0.8054        | 0.17  | 561  | 0.7599          |
| 0.8092        | 0.18  | 594  | 0.7592          |
| 0.8213        | 0.19  | 627  | 0.7585          |
| 0.8111        | 0.21  | 660  | 0.7601          |
| 0.8106        | 0.22  | 693  | 0.7594          |
| 0.7866        | 0.23  | 726  | 0.7589          |
| 0.7906        | 0.24  | 759  | 0.7594          |
| 0.8265        | 0.25  | 792  | 0.7591          |
| 0.7938        | 0.26  | 825  | 0.7572          |
| 0.813         | 0.27  | 858  | 0.7572          |
| 0.7934        | 0.28  | 891  | 0.7567          |
| 0.8115        | 0.29  | 924  | 0.7566          |
| 0.7862        | 0.3   | 957  | 0.7562          |
| 0.8165        | 0.31  | 990  | 0.7568          |
| 0.7959        | 0.32  | 1023 | 0.7558          |
| 0.8213        | 0.33  | 1056 | 0.7553          |
| 0.8275        | 0.34  | 1089 | 0.7554          |
| 0.8153        | 0.35  | 1122 | 0.7552          |
| 0.8114        | 0.36  | 1155 | 0.7549          |
| 0.7864        | 0.37  | 1188 | 0.7538          |
| 0.7949        | 0.38  | 1221 | 0.7535          |
| 0.7789        | 0.39  | 1254 | 0.7536          |
| 0.7965        | 0.4   | 1287 | 0.7541          |
| 0.8055        | 0.41  | 1320 | 0.7539          |
| 0.7936        | 0.42  | 1353 | 0.7530          |
| 0.8111        | 0.43  | 1386 | 0.7524          |
| 0.8228        | 0.44  | 1419 | 0.7523          |
| 0.7801        | 0.45  | 1452 | 0.7529          |
| 0.8032        | 0.46  | 1485 | 0.7521          |
| 0.8099        | 0.47  | 1518 | 0.7527          |
| 0.8199        | 0.48  | 1551 | 0.7526          |
| 0.7798        | 0.49  | 1584 | 0.7519          |
| 0.8011        | 0.5   | 1617 | 0.7519          |
| 0.8008        | 0.51  | 1650 | 0.7519          |
| 0.7731        | 0.52  | 1683 | 0.7517          |
| 0.8064        | 0.53  | 1716 | 0.7513          |
| 0.8011        | 0.54  | 1749 | 0.7511          |
| 0.8042        | 0.55  | 1782 | 0.7513          |
| 0.7854        | 0.56  | 1815 | 0.7516          |
| 0.7944        | 0.57  | 1848 | 0.7512          |
| 0.7947        | 0.58  | 1881 | 0.7519          |
| 0.8146        | 0.59  | 1914 | 0.7508          |
| 0.8097        | 0.6   | 1947 | 0.7508          |
| 0.7965        | 0.62  | 1980 | 0.7510          |
| 0.7732        | 0.63  | 2013 | 0.7509          |
| 0.7871        | 0.64  | 2046 | 0.7506          |
| 0.8193        | 0.65  | 2079 | 0.7504          |
| 0.8114        | 0.66  | 2112 | 0.7501          |
| 0.8027        | 0.67  | 2145 | 0.7501          |
| 0.8111        | 0.68  | 2178 | 0.7501          |
| 0.7942        | 0.69  | 2211 | 0.7496          |
| 0.7957        | 0.7   | 2244 | 0.7496          |
| 0.8138        | 0.71  | 2277 | 0.7494          |
| 0.7995        | 0.72  | 2310 | 0.7489          |
| 0.8029        | 0.73  | 2343 | 0.7494          |
| 0.7999        | 0.74  | 2376 | 0.7490          |
| 0.8246        | 0.75  | 2409 | 0.7492          |
| 0.7991        | 0.76  | 2442 | 0.7487          |
| 0.7857        | 0.77  | 2475 | 0.7488          |
| 0.7877        | 0.78  | 2508 | 0.7490          |
| 0.8057        | 0.79  | 2541 | 0.7489          |
| 0.7897        | 0.8   | 2574 | 0.7487          |
| 0.811         | 0.81  | 2607 | 0.7484          |
| 0.7985        | 0.82  | 2640 | 0.7486          |
| 0.8027        | 0.83  | 2673 | 0.7485          |
| 0.8058        | 0.84  | 2706 | 0.7488          |
| 0.7733        | 0.85  | 2739 | 0.7483          |
| 0.7999        | 0.86  | 2772 | 0.7484          |
| 0.8134        | 0.87  | 2805 | 0.7487          |
| 0.8053        | 0.88  | 2838 | 0.7484          |
| 0.826         | 0.89  | 2871 | 0.7485          |
| 0.7886        | 0.9   | 2904 | 0.7484          |
| 0.782         | 0.91  | 2937 | 0.7483          |
| 0.788         | 0.92  | 2970 | 0.7483          |
| 0.8163        | 0.93  | 3003 | 0.7483          |
| 0.7932        | 0.94  | 3036 | 0.7483          |
| 0.8083        | 0.95  | 3069 | 0.7483          |
| 0.795         | 0.96  | 3102 | 0.7482          |
| 0.8058        | 0.97  | 3135 | 0.7482          |
| 0.793         | 0.98  | 3168 | 0.7483          |
| 0.8022        | 0.99  | 3201 | 0.7482          |


### 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_bg2", "results": []}]}
safetensors generated_from_trainer base_model:meta-llama/Llama-2-13b-hf region:us