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# zephyr-7b-dpo-full

This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6874
- Rewards/chosen: -4.3150
- Rewards/rejected: -8.0704
- Rewards/accuracies: 0.7857
- Rewards/margins: 3.7554
- Logps/rejected: -325.6119
- Logps/chosen: -339.6828
- Logits/rejected: -2.6781
- Logits/chosen: -2.7397

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5397        | 0.1   | 100  | 0.5211          | 0.1287         | -0.6851          | 0.7579             | 0.8138          | -251.7586      | -295.2458    | -2.9742         | -3.0033       |
| 0.4919        | 0.21  | 200  | 0.4873          | 0.0278         | -1.1599          | 0.7897             | 1.1876          | -256.5061      | -296.2552    | -3.0688         | -3.0898       |
| 0.4802        | 0.31  | 300  | 0.5027          | -0.2234        | -1.3257          | 0.7540             | 1.1023          | -258.1646      | -298.7669    | -3.0494         | -3.0828       |
| 0.5134        | 0.41  | 400  | 0.5098          | -0.2878        | -1.6709          | 0.7698             | 1.3832          | -261.6169      | -299.4102    | -2.8843         | -2.9179       |
| 0.4534        | 0.52  | 500  | 0.4905          | -0.1808        | -1.6336          | 0.7698             | 1.4528          | -261.2433      | -298.3406    | -2.9804         | -3.0182       |
| 0.4976        | 0.62  | 600  | 0.4872          | -0.2273        | -1.5386          | 0.7659             | 1.3112          | -260.2931      | -298.8059    | -2.9266         | -2.9730       |
| 0.5452        | 0.72  | 700  | 0.4888          | -0.4813        | -1.6851          | 0.7341             | 1.2039          | -261.7586      | -301.3452    | -2.9377         | -2.9686       |
| 0.5342        | 0.83  | 800  | 0.4774          | -0.3705        | -1.9222          | 0.7857             | 1.5517          | -264.1292      | -300.2377    | -2.8434         | -2.8821       |
| 0.5014        | 0.93  | 900  | 0.4814          | -0.2397        | -1.6794          | 0.7619             | 1.4397          | -261.7013      | -298.9296    | -2.8339         | -2.8781       |
| 0.0785        | 1.03  | 1000 | 0.4821          | -0.6486        | -2.5221          | 0.7659             | 1.8735          | -270.1282      | -303.0184    | -2.7561         | -2.8068       |
| 0.0883        | 1.14  | 1100 | 0.5074          | -1.3177        | -3.3355          | 0.7540             | 2.0178          | -278.2621      | -309.7097    | -2.7831         | -2.8337       |
| 0.086         | 1.24  | 1200 | 0.5001          | -1.1250        | -3.2622          | 0.7540             | 2.1372          | -277.5298      | -307.7827    | -2.7876         | -2.8347       |
| 0.0919        | 1.34  | 1300 | 0.5054          | -1.3872        | -3.5531          | 0.8016             | 2.1659          | -280.4383      | -310.4045    | -2.7662         | -2.8076       |
| 0.105         | 1.44  | 1400 | 0.5085          | -1.5140        | -3.6281          | 0.7817             | 2.1141          | -281.1881      | -311.6723    | -2.7877         | -2.8291       |
| 0.0714        | 1.55  | 1500 | 0.5216          | -1.8642        | -4.0538          | 0.7460             | 2.1896          | -285.4451      | -315.1745    | -2.7888         | -2.8331       |
| 0.0874        | 1.65  | 1600 | 0.5050          | -1.5077        | -3.7276          | 0.7421             | 2.2199          | -282.1837      | -311.6096    | -2.7751         | -2.8315       |
| 0.063         | 1.75  | 1700 | 0.5350          | -1.9441        | -4.4422          | 0.7857             | 2.4980          | -289.3290      | -315.9738    | -2.7470         | -2.8054       |
| 0.0786        | 1.86  | 1800 | 0.5376          | -2.0344        | -4.4236          | 0.7698             | 2.3892          | -289.1434      | -316.8769    | -2.7544         | -2.8120       |
| 0.1117        | 1.96  | 1900 | 0.5335          | -1.9236        | -4.0369          | 0.7817             | 2.1133          | -285.2767      | -315.7684    | -2.8365         | -2.8858       |
| 0.0175        | 2.06  | 2000 | 0.5882          | -2.8256        | -5.7651          | 0.7619             | 2.9396          | -302.5587      | -324.7882    | -2.7736         | -2.8336       |
| 0.0145        | 2.17  | 2100 | 0.6160          | -3.1789        | -6.2515          | 0.7659             | 3.0725          | -307.4222      | -328.3220    | -2.7453         | -2.8019       |
| 0.0109        | 2.27  | 2200 | 0.6675          | -3.8634        | -7.3412          | 0.7659             | 3.4777          | -318.3191      | -335.1671    | -2.7136         | -2.7758       |
| 0.0144        | 2.37  | 2300 | 0.6555          | -3.6832        | -7.0603          | 0.7738             | 3.3770          | -315.5101      | -333.3649    | -2.6841         | -2.7460       |
| 0.0103        | 2.48  | 2400 | 0.6598          | -3.7543        | -7.1773          | 0.7579             | 3.4230          | -316.6805      | -334.0755    | -2.6255         | -2.6922       |
| 0.0085        | 2.58  | 2500 | 0.7044          | -4.5468        | -8.3313          | 0.7659             | 3.7845          | -328.2202      | -342.0003    | -2.6245         | -2.6937       |
| 0.0077        | 2.68  | 2600 | 0.6755          | -3.9908        | -7.6767          | 0.7857             | 3.6859          | -321.6741      | -336.4403    | -2.6716         | -2.7350       |
| 0.0098        | 2.79  | 2700 | 0.6890          | -4.1853        | -7.8875          | 0.7778             | 3.7022          | -323.7826      | -338.3858    | -2.6895         | -2.7518       |
| 0.0126        | 2.89  | 2800 | 0.6889          | -4.2792        | -8.0158          | 0.7778             | 3.7366          | -325.0659      | -339.3250    | -2.6752         | -2.7376       |
| 0.0078        | 2.99  | 2900 | 0.6886          | -4.3139        | -8.0732          | 0.7738             | 3.7593          | -325.6390      | -339.6714    | -2.6788         | -2.7404       |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-7b-dpo-full", "results": []}]}
transformers tensorboard safetensors mistral text-generation generated_from_trainer conversational base_model:alignment-handbook/zephyr-7b-sft-full license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us