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# opt-125m-dpo-full

This model is a fine-tuned version of [SebastianSchramm/opt-125m-sft-full](https://huggingface.co/SebastianSchramm/opt-125m-sft-full) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6160
- Rewards/chosen: -0.9541
- Rewards/rejected: -2.0866
- Rewards/accuracies: 0.6765
- Rewards/margins: 1.1325
- Logps/rejected: -421.7949
- Logps/chosen: -541.3610
- Logits/rejected: -3.0587
- Logits/chosen: -3.1037

## 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: 5e-07
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 1.0169        | 0.13  | 1000  | 0.6485          | -0.0512        | -0.1732          | 0.6145             | 0.1220          | -402.6611      | -532.3322    | -3.1391         | -3.1931       |
| 0.9048        | 0.26  | 2000  | 0.6264          | -0.5889        | -1.0870          | 0.6325             | 0.4981          | -411.7990      | -537.7092    | -3.0871         | -3.1417       |
| 0.8198        | 0.39  | 3000  | 0.6522          | -0.8130        | -1.5553          | 0.6365             | 0.7424          | -416.4820      | -539.9495    | -2.9890         | -3.0594       |
| 0.7973        | 0.52  | 4000  | 0.6435          | -0.7772        | -1.6280          | 0.6450             | 0.8509          | -417.2088      | -539.5912    | -3.0365         | -3.1002       |
| 0.7659        | 0.65  | 5000  | 0.6419          | -0.8487        | -1.7568          | 0.6480             | 0.9081          | -418.4963      | -540.3063    | -3.0726         | -3.1246       |
| 0.6425        | 0.77  | 6000  | 0.6379          | -0.9374        | -1.9026          | 0.6555             | 0.9652          | -419.9547      | -541.1942    | -3.1294         | -3.1712       |
| 0.709         | 0.9   | 7000  | 0.6275          | -0.8907        | -1.8643          | 0.6610             | 0.9735          | -419.5712      | -540.7272    | -3.0433         | -3.0959       |
| 0.5569        | 1.03  | 8000  | 0.6325          | -0.9352        | -1.9355          | 0.6625             | 1.0003          | -420.2840      | -541.1722    | -3.0149         | -3.0760       |
| 0.6507        | 1.16  | 9000  | 0.6215          | -0.9145        | -1.9276          | 0.6700             | 1.0132          | -420.2049      | -540.9644    | -2.9981         | -3.0595       |
| 0.5921        | 1.29  | 10000 | 0.6201          | -0.9696        | -2.0113          | 0.6695             | 1.0417          | -421.0416      | -541.5154    | -2.9905         | -3.0538       |
| 0.581         | 1.42  | 11000 | 0.6231          | -0.8880        | -1.9400          | 0.6685             | 1.0521          | -420.3290      | -540.6996    | -2.9769         | -3.0403       |
| 0.6955        | 1.55  | 12000 | 0.6200          | -0.8521        | -1.9201          | 0.6715             | 1.0680          | -420.1295      | -540.3407    | -2.9294         | -3.0003       |
| 0.6388        | 1.68  | 13000 | 0.6221          | -0.9373        | -2.0216          | 0.6735             | 1.0843          | -421.1445      | -541.1925    | -2.9834         | -3.0472       |
| 0.511         | 1.81  | 14000 | 0.6167          | -0.8495        | -1.9379          | 0.6715             | 1.0884          | -420.3077      | -540.3145    | -3.0078         | -3.0625       |
| 0.5239        | 1.94  | 15000 | 0.6158          | -0.8967        | -1.9849          | 0.6775             | 1.0882          | -420.7780      | -540.7867    | -3.0404         | -3.0908       |
| 0.5769        | 2.07  | 16000 | 0.6220          | -0.9706        | -2.0850          | 0.6695             | 1.1144          | -421.7786      | -541.5255    | -3.0230         | -3.0752       |
| 0.407         | 2.19  | 17000 | 0.6137          | -0.9421        | -2.0587          | 0.6755             | 1.1166          | -421.5154      | -541.2402    | -3.0224         | -3.0743       |
| 0.5732        | 2.32  | 18000 | 0.6119          | -0.8997        | -2.0121          | 0.6740             | 1.1124          | -421.0493      | -540.8169    | -3.0294         | -3.0811       |
| 0.6627        | 2.45  | 19000 | 0.6143          | -0.9421        | -2.0649          | 0.6755             | 1.1228          | -421.5779      | -541.2407    | -3.0363         | -3.0864       |
| 0.568         | 2.58  | 20000 | 0.6163          | -0.9679        | -2.0994          | 0.6780             | 1.1316          | -421.9230      | -541.4983    | -3.0553         | -3.1021       |
| 0.5467        | 2.71  | 21000 | 0.6156          | -0.9578        | -2.0832          | 0.6780             | 1.1254          | -421.7610      | -541.3981    | -3.0488         | -3.0957       |
| 0.4785        | 2.84  | 22000 | 0.6160          | -0.9527        | -2.0818          | 0.6755             | 1.1290          | -421.7462      | -541.3470    | -3.0554         | -3.1020       |
| 0.4905        | 2.97  | 23000 | 0.6161          | -0.9537        | -2.0835          | 0.6770             | 1.1298          | -421.7638      | -541.3571    | -3.0583         | -3.1056       |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "SebastianSchramm/opt-125m-sft-full", "model-index": [{"name": "opt-125m-dpo-full", "results": []}]}
transformers tensorboard safetensors opt text-generation generated_from_trainer conversational base_model:SebastianSchramm/opt-125m-sft-full license:other autotrain_compatible endpoints_compatible text-generation-inference region:us