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# qwen__oasst_top1_2023_08_25_downprojNinplayernorm_0020_r8_g16_lr0.0001_1ep

This model is a fine-tuned version of [Qwen/Qwen-14B](https://huggingface.co/Qwen/Qwen-14B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7251

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9487        | 0.01  | 8    | 2.1281          |
| 2.1173        | 0.02  | 16   | 2.0880          |
| 2.0747        | 0.03  | 24   | 2.0342          |
| 1.8975        | 0.04  | 32   | 1.9670          |
| 1.9189        | 0.05  | 40   | 1.9263          |
| 1.9085        | 0.06  | 48   | 1.8958          |
| 1.7846        | 0.07  | 56   | 1.8799          |
| 1.8338        | 0.08  | 64   | 1.8471          |
| 1.7284        | 0.09  | 72   | 1.8265          |
| 1.7755        | 0.1   | 80   | 1.8039          |
| 1.7464        | 0.11  | 88   | 1.8069          |
| 1.9554        | 0.12  | 96   | 1.7932          |
| 1.7423        | 0.13  | 104  | 1.7850          |
| 1.8622        | 0.14  | 112  | 1.7833          |
| 1.8511        | 0.15  | 120  | 1.7818          |
| 1.7803        | 0.16  | 128  | 1.7822          |
| 1.6367        | 0.17  | 136  | 1.7666          |
| 1.7516        | 0.19  | 144  | 1.7692          |
| 1.7123        | 0.2   | 152  | 1.7644          |
| 1.8265        | 0.21  | 160  | 1.7623          |
| 1.7274        | 0.22  | 168  | 1.7627          |
| 1.6396        | 0.23  | 176  | 1.7600          |
| 1.7093        | 0.24  | 184  | 1.7653          |
| 1.7546        | 0.25  | 192  | 1.7540          |
| 1.6111        | 0.26  | 200  | 1.7593          |
| 1.5847        | 0.27  | 208  | 1.7597          |
| 1.862         | 0.28  | 216  | 1.7412          |
| 1.6914        | 0.29  | 224  | 1.7532          |
| 1.61          | 0.3   | 232  | 1.7688          |
| 1.7093        | 0.31  | 240  | 1.7366          |
| 1.7974        | 0.32  | 248  | 1.7457          |
| 1.6242        | 0.33  | 256  | 1.7491          |
| 1.7878        | 0.34  | 264  | 1.7440          |
| 1.6306        | 0.35  | 272  | 1.7413          |
| 1.617         | 0.36  | 280  | 1.7364          |
| 1.7335        | 0.37  | 288  | 1.7430          |
| 1.7386        | 0.38  | 296  | 1.7482          |
| 1.6329        | 0.39  | 304  | 1.7426          |
| 1.6494        | 0.4   | 312  | 1.7393          |
| 1.6527        | 0.41  | 320  | 1.7405          |
| 1.6962        | 0.42  | 328  | 1.7315          |
| 1.7026        | 0.43  | 336  | 1.7303          |
| 1.7371        | 0.44  | 344  | 1.7288          |
| 1.6793        | 0.45  | 352  | 1.7311          |
| 1.7406        | 0.46  | 360  | 1.7442          |
| 1.7684        | 0.47  | 368  | 1.7362          |
| 1.8008        | 0.48  | 376  | 1.7400          |
| 1.7763        | 0.49  | 384  | 1.7338          |
| 1.7971        | 0.5   | 392  | 1.7282          |
| 1.7209        | 0.51  | 400  | 1.7281          |
| 1.7987        | 0.52  | 408  | 1.7313          |
| 1.7329        | 0.53  | 416  | 1.7349          |
| 1.6169        | 0.55  | 424  | 1.7254          |
| 1.6645        | 0.56  | 432  | 1.7275          |
| 1.6601        | 0.57  | 440  | 1.7308          |
| 1.617         | 0.58  | 448  | 1.7313          |
| 1.6505        | 0.59  | 456  | 1.7308          |
| 1.6505        | 0.6   | 464  | 1.7287          |
| 1.7098        | 0.61  | 472  | 1.7290          |
| 1.7344        | 0.62  | 480  | 1.7291          |
| 1.6619        | 0.63  | 488  | 1.7239          |
| 1.7957        | 0.64  | 496  | 1.7213          |
| 1.7285        | 0.65  | 504  | 1.7294          |
| 1.7758        | 0.66  | 512  | 1.7301          |
| 1.6332        | 0.67  | 520  | 1.7259          |
| 1.7371        | 0.68  | 528  | 1.7261          |
| 1.7632        | 0.69  | 536  | 1.7293          |
| 1.6248        | 0.7   | 544  | 1.7281          |
| 1.6559        | 0.71  | 552  | 1.7326          |
| 1.7228        | 0.72  | 560  | 1.7283          |
| 1.5577        | 0.73  | 568  | 1.7266          |
| 1.7095        | 0.74  | 576  | 1.7256          |
| 1.7484        | 0.75  | 584  | 1.7206          |
| 1.7996        | 0.76  | 592  | 1.7180          |
| 1.6643        | 0.77  | 600  | 1.7175          |
| 1.628         | 0.78  | 608  | 1.7222          |
| 1.6142        | 0.79  | 616  | 1.7286          |
| 1.6641        | 0.8   | 624  | 1.7310          |
| 1.6913        | 0.81  | 632  | 1.7279          |
| 1.6455        | 0.82  | 640  | 1.7249          |
| 1.7077        | 0.83  | 648  | 1.7251          |
| 1.7222        | 0.84  | 656  | 1.7262          |
| 1.6641        | 0.85  | 664  | 1.7259          |
| 1.7316        | 0.86  | 672  | 1.7258          |
| 1.6272        | 0.87  | 680  | 1.7259          |
| 1.6585        | 0.88  | 688  | 1.7258          |
| 1.6819        | 0.89  | 696  | 1.7259          |
| 1.6433        | 0.9   | 704  | 1.7259          |
| 1.655         | 0.92  | 712  | 1.7259          |
| 1.8296        | 0.93  | 720  | 1.7256          |
| 1.7198        | 0.94  | 728  | 1.7253          |
| 1.719         | 0.95  | 736  | 1.7253          |
| 1.7056        | 0.96  | 744  | 1.7251          |
| 1.6621        | 0.97  | 752  | 1.7252          |
| 1.7428        | 0.98  | 760  | 1.7251          |
| 1.7382        | 0.99  | 768  | 1.7251          |
| 1.7544        | 1.0   | 776  | 1.7251          |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.5.2
- Tokenizers 0.14.0

{"tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen-14B", "model-index": [{"name": "qwen__oasst_top1_2023_08_25_downprojNinplayernorm_0020_r8_g16_lr0.0001_1ep", "results": []}]}
generated_from_trainer base_model:Qwen/Qwen-14B region:us