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# llama_2_13balpaca_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: 0.7305

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3397        | 0.01  | 33   | 0.8324          |
| 0.8453        | 0.02  | 66   | 0.7762          |
| 0.8166        | 0.03  | 99   | 0.7648          |
| 0.8375        | 0.04  | 132  | 0.7611          |
| 0.8168        | 0.05  | 165  | 0.7566          |
| 0.8226        | 0.06  | 198  | 0.7537          |
| 0.8423        | 0.07  | 231  | 0.7537          |
| 0.8078        | 0.08  | 264  | 0.7520          |
| 0.8128        | 0.09  | 297  | 0.7508          |
| 0.8041        | 0.1   | 330  | 0.7473          |
| 0.8376        | 0.11  | 363  | 0.7477          |
| 0.8376        | 0.12  | 396  | 0.7474          |
| 0.8133        | 0.13  | 429  | 0.7450          |
| 0.8052        | 0.14  | 462  | 0.7442          |
| 0.8026        | 0.15  | 495  | 0.7455          |
| 0.8101        | 0.16  | 528  | 0.7447          |
| 0.8337        | 0.17  | 561  | 0.7430          |
| 0.8103        | 0.18  | 594  | 0.7430          |
| 0.8305        | 0.19  | 627  | 0.7422          |
| 0.8084        | 0.21  | 660  | 0.7416          |
| 0.8109        | 0.22  | 693  | 0.7426          |
| 0.7994        | 0.23  | 726  | 0.7409          |
| 0.8113        | 0.24  | 759  | 0.7411          |
| 0.8023        | 0.25  | 792  | 0.7401          |
| 0.7927        | 0.26  | 825  | 0.7397          |
| 0.8115        | 0.27  | 858  | 0.7386          |
| 0.7899        | 0.28  | 891  | 0.7384          |
| 0.8087        | 0.29  | 924  | 0.7382          |
| 0.7916        | 0.3   | 957  | 0.7382          |
| 0.8246        | 0.31  | 990  | 0.7370          |
| 0.8058        | 0.32  | 1023 | 0.7383          |
| 0.8047        | 0.33  | 1056 | 0.7369          |
| 0.8289        | 0.34  | 1089 | 0.7372          |
| 0.8154        | 0.35  | 1122 | 0.7360          |
| 0.8042        | 0.36  | 1155 | 0.7358          |
| 0.826         | 0.37  | 1188 | 0.7361          |
| 0.7937        | 0.38  | 1221 | 0.7359          |
| 0.7948        | 0.39  | 1254 | 0.7358          |
| 0.791         | 0.4   | 1287 | 0.7351          |
| 0.8382        | 0.41  | 1320 | 0.7350          |
| 0.819         | 0.42  | 1353 | 0.7351          |
| 0.782         | 0.43  | 1386 | 0.7344          |
| 0.8093        | 0.44  | 1419 | 0.7352          |
| 0.8088        | 0.45  | 1452 | 0.7352          |
| 0.7779        | 0.46  | 1485 | 0.7339          |
| 0.7941        | 0.47  | 1518 | 0.7342          |
| 0.8002        | 0.48  | 1551 | 0.7339          |
| 0.7947        | 0.49  | 1584 | 0.7334          |
| 0.7967        | 0.5   | 1617 | 0.7335          |
| 0.8073        | 0.51  | 1650 | 0.7338          |
| 0.7667        | 0.52  | 1683 | 0.7331          |
| 0.8007        | 0.53  | 1716 | 0.7335          |
| 0.8173        | 0.54  | 1749 | 0.7331          |
| 0.8018        | 0.55  | 1782 | 0.7327          |
| 0.7983        | 0.56  | 1815 | 0.7325          |
| 0.8001        | 0.57  | 1848 | 0.7327          |
| 0.8056        | 0.58  | 1881 | 0.7325          |
| 0.7988        | 0.59  | 1914 | 0.7329          |
| 0.8164        | 0.6   | 1947 | 0.7326          |
| 0.8199        | 0.62  | 1980 | 0.7320          |
| 0.7889        | 0.63  | 2013 | 0.7319          |
| 0.7957        | 0.64  | 2046 | 0.7321          |
| 0.8018        | 0.65  | 2079 | 0.7318          |
| 0.7878        | 0.66  | 2112 | 0.7325          |
| 0.8065        | 0.67  | 2145 | 0.7320          |
| 0.7954        | 0.68  | 2178 | 0.7320          |
| 0.7921        | 0.69  | 2211 | 0.7316          |
| 0.7873        | 0.7   | 2244 | 0.7312          |
| 0.797         | 0.71  | 2277 | 0.7314          |
| 0.8049        | 0.72  | 2310 | 0.7314          |
| 0.7886        | 0.73  | 2343 | 0.7311          |
| 0.7796        | 0.74  | 2376 | 0.7310          |
| 0.7943        | 0.75  | 2409 | 0.7311          |
| 0.7999        | 0.76  | 2442 | 0.7312          |
| 0.8108        | 0.77  | 2475 | 0.7312          |
| 0.7835        | 0.78  | 2508 | 0.7309          |
| 0.7919        | 0.79  | 2541 | 0.7312          |
| 0.8048        | 0.8   | 2574 | 0.7311          |
| 0.7948        | 0.81  | 2607 | 0.7310          |
| 0.819         | 0.82  | 2640 | 0.7311          |
| 0.8014        | 0.83  | 2673 | 0.7306          |
| 0.7945        | 0.84  | 2706 | 0.7309          |
| 0.7757        | 0.85  | 2739 | 0.7307          |
| 0.8198        | 0.86  | 2772 | 0.7308          |
| 0.8236        | 0.87  | 2805 | 0.7310          |
| 0.7932        | 0.88  | 2838 | 0.7308          |
| 0.8023        | 0.89  | 2871 | 0.7306          |
| 0.8009        | 0.9   | 2904 | 0.7307          |
| 0.7877        | 0.91  | 2937 | 0.7305          |
| 0.7995        | 0.92  | 2970 | 0.7307          |
| 0.8227        | 0.93  | 3003 | 0.7306          |
| 0.8178        | 0.94  | 3036 | 0.7306          |
| 0.8007        | 0.95  | 3069 | 0.7305          |
| 0.7946        | 0.96  | 3102 | 0.7307          |
| 0.7702        | 0.97  | 3135 | 0.7306          |
| 0.8028        | 0.98  | 3168 | 0.7306          |
| 0.7814        | 0.99  | 3201 | 0.7305          |


### 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_13balpaca_r8_lr0.0001_bg2", "results": []}]}
safetensors generated_from_trainer base_model:meta-llama/Llama-2-13b-hf region:us