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# final_OpenAssistant_oasst_top1_2023-08-25

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: 1.7151

## 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: 0.01
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1175        | 0.02  | 16   | 2.0540          |
| 1.9737        | 0.04  | 32   | 1.9478          |
| 1.9372        | 0.06  | 48   | 1.8846          |
| 1.8575        | 0.08  | 64   | 1.8448          |
| 1.8003        | 0.1   | 80   | 1.8093          |
| 1.758         | 0.12  | 96   | 1.7955          |
| 1.7224        | 0.14  | 112  | 1.7885          |
| 1.7267        | 0.17  | 128  | 1.7693          |
| 1.7202        | 0.19  | 144  | 1.7683          |
| 1.6858        | 0.21  | 160  | 1.7536          |
| 1.6923        | 0.23  | 176  | 1.7515          |
| 1.7305        | 0.25  | 192  | 1.7497          |
| 1.6592        | 0.27  | 208  | 1.7476          |
| 1.6879        | 0.29  | 224  | 1.7470          |
| 1.7319        | 0.31  | 240  | 1.7296          |
| 1.7017        | 0.33  | 256  | 1.7287          |
| 1.6916        | 0.35  | 272  | 1.7319          |
| 1.662         | 0.37  | 288  | 1.7242          |
| 1.68          | 0.39  | 304  | 1.7249          |
| 1.7164        | 0.41  | 320  | 1.7312          |
| 1.7631        | 0.43  | 336  | 1.7289          |
| 1.7074        | 0.45  | 352  | 1.7209          |
| 1.6263        | 0.47  | 368  | 1.7322          |
| 1.7241        | 0.5   | 384  | 1.7286          |
| 1.7361        | 0.52  | 400  | 1.7198          |
| 1.6418        | 0.54  | 416  | 1.7303          |
| 1.6362        | 0.56  | 432  | 1.7171          |
| 1.7063        | 0.58  | 448  | 1.7188          |
| 1.7775        | 0.6   | 464  | 1.7178          |
| 1.7079        | 0.62  | 480  | 1.7119          |
| 1.6871        | 0.64  | 496  | 1.7169          |
| 1.6943        | 0.66  | 512  | 1.7108          |
| 1.7202        | 0.68  | 528  | 1.7155          |
| 1.7099        | 0.7   | 544  | 1.7150          |
| 1.6629        | 0.72  | 560  | 1.7195          |
| 1.669         | 0.74  | 576  | 1.7181          |
| 1.6841        | 0.76  | 592  | 1.7199          |
| 1.7188        | 0.78  | 608  | 1.7180          |
| 1.6665        | 0.8   | 624  | 1.7163          |
| 1.7066        | 0.83  | 640  | 1.7159          |
| 1.7239        | 0.85  | 656  | 1.7161          |
| 1.703         | 0.87  | 672  | 1.7164          |
| 1.8095        | 0.89  | 688  | 1.7166          |
| 1.7161        | 0.91  | 704  | 1.7160          |
| 1.7776        | 0.93  | 720  | 1.7153          |
| 1.7799        | 0.95  | 736  | 1.7150          |
| 1.6365        | 0.97  | 752  | 1.7151          |
| 1.686         | 0.99  | 768  | 1.7151          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.1.0
- Datasets 2.14.7
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen-14B", "model-index": [{"name": "final_OpenAssistant_oasst_top1_2023-08-25", "results": []}]}
generated_from_trainer base_model:Qwen/Qwen-14B region:us