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# repro_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: 1.6319

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0936        | 0.02  | 16   | 1.9760          |
| 1.9582        | 0.04  | 32   | 1.8695          |
| 1.896         | 0.06  | 48   | 1.8102          |
| 1.8483        | 0.08  | 64   | 1.7650          |
| 1.7502        | 0.1   | 80   | 1.7268          |
| 1.7797        | 0.12  | 96   | 1.7187          |
| 1.7412        | 0.14  | 112  | 1.7061          |
| 1.7372        | 0.17  | 128  | 1.6902          |
| 1.7424        | 0.19  | 144  | 1.6870          |
| 1.6815        | 0.21  | 160  | 1.6803          |
| 1.6973        | 0.23  | 176  | 1.6722          |
| 1.742         | 0.25  | 192  | 1.6751          |
| 1.7701        | 0.27  | 208  | 1.6650          |
| 1.6699        | 0.29  | 224  | 1.6673          |
| 1.7397        | 0.31  | 240  | 1.6561          |
| 1.7486        | 0.33  | 256  | 1.6545          |
| 1.7101        | 0.35  | 272  | 1.6390          |
| 1.6462        | 0.37  | 288  | 1.6666          |
| 1.7052        | 0.39  | 304  | 1.6493          |
| 1.7276        | 0.41  | 320  | 1.6467          |
| 1.7523        | 0.43  | 336  | 1.6513          |
| 1.7007        | 0.45  | 352  | 1.6322          |
| 1.6713        | 0.47  | 368  | 1.6567          |
| 1.7741        | 0.5   | 384  | 1.6381          |
| 1.7343        | 0.52  | 400  | 1.6390          |
| 1.7155        | 0.54  | 416  | 1.6395          |
| 1.7088        | 0.56  | 432  | 1.6380          |
| 1.7224        | 0.58  | 448  | 1.6385          |
| 1.7397        | 0.6   | 464  | 1.6373          |
| 1.704         | 0.62  | 480  | 1.6360          |
| 1.6633        | 0.64  | 496  | 1.6362          |
| 1.6788        | 0.66  | 512  | 1.6307          |
| 1.6863        | 0.68  | 528  | 1.6330          |
| 1.7442        | 0.7   | 544  | 1.6336          |
| 1.7062        | 0.72  | 560  | 1.6344          |
| 1.7116        | 0.74  | 576  | 1.6318          |
| 1.6728        | 0.76  | 592  | 1.6314          |
| 1.7042        | 0.78  | 608  | 1.6329          |
| 1.7388        | 0.8   | 624  | 1.6329          |
| 1.7035        | 0.83  | 640  | 1.6305          |
| 1.6719        | 0.85  | 656  | 1.6311          |
| 1.7105        | 0.87  | 672  | 1.6331          |
| 1.7175        | 0.89  | 688  | 1.6339          |
| 1.7756        | 0.91  | 704  | 1.6333          |
| 1.6789        | 0.93  | 720  | 1.6322          |
| 1.7247        | 0.95  | 736  | 1.6319          |
| 1.6738        | 0.97  | 752  | 1.6318          |
| 1.6773        | 0.99  | 768  | 1.6319          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen-14B", "model-index": [{"name": "repro_OpenAssistant_oasst_top1_2023-08-25", "results": []}]}
generated_from_trainer base_model:Qwen/Qwen-14B region:us