---
library_name: transformers
license: llama3
base_model: tsavage68/IE_L3_1000steps_1e6rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: IE_L3_1000steps_1e5rate_05beta_cSFTDPO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# IE_L3_1000steps_1e5rate_05beta_cSFTDPO

This model is a fine-tuned version of [tsavage68/IE_L3_1000steps_1e6rate_SFT](https://huggingface.co/tsavage68/IE_L3_1000steps_1e6rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1802
- Rewards/chosen: -1.9138
- Rewards/rejected: -16.8689
- Rewards/accuracies: 0.7400
- Rewards/margins: 14.9551
- Logps/rejected: -109.3650
- Logps/chosen: -86.6253
- Logits/rejected: -0.7926
- Logits/chosen: -0.7113

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1906        | 0.4   | 50   | 0.1802          | -1.6520        | -15.8076         | 0.7400             | 14.1556         | -107.2424      | -86.1018     | -0.7917         | -0.7117       |
| 0.1386        | 0.8   | 100  | 0.1802          | -1.8267        | -16.5557         | 0.7400             | 14.7290         | -108.7386      | -86.4511     | -0.7906         | -0.7103       |
| 0.1386        | 1.2   | 150  | 0.1802          | -1.8547        | -16.5627         | 0.7400             | 14.7080         | -108.7527      | -86.5072     | -0.7921         | -0.7119       |
| 0.1733        | 1.6   | 200  | 0.1802          | -1.8689        | -16.5821         | 0.7400             | 14.7132         | -108.7914      | -86.5355     | -0.7914         | -0.7112       |
| 0.2253        | 2.0   | 250  | 0.1802          | -1.8605        | -16.6156         | 0.7400             | 14.7552         | -108.8585      | -86.5187     | -0.7914         | -0.7110       |
| 0.1386        | 2.4   | 300  | 0.1802          | -1.8594        | -16.6192         | 0.7400             | 14.7598         | -108.8657      | -86.5166     | -0.7911         | -0.7110       |
| 0.1213        | 2.8   | 350  | 0.1802          | -1.8731        | -16.6287         | 0.7400             | 14.7556         | -108.8846      | -86.5440     | -0.7901         | -0.7097       |
| 0.1906        | 3.2   | 400  | 0.1802          | -1.8656        | -16.7018         | 0.7400             | 14.8363         | -109.0309      | -86.5289     | -0.7915         | -0.7108       |
| 0.1906        | 3.6   | 450  | 0.1802          | -1.8643        | -16.6935         | 0.7400             | 14.8292         | -109.0142      | -86.5264     | -0.7910         | -0.7101       |
| 0.2079        | 4.0   | 500  | 0.1802          | -1.8487        | -16.6943         | 0.7400             | 14.8456         | -109.0159      | -86.4952     | -0.7915         | -0.7105       |
| 0.156         | 4.4   | 550  | 0.1802          | -1.8609        | -16.7207         | 0.7400             | 14.8598         | -109.0686      | -86.5195     | -0.7923         | -0.7110       |
| 0.1213        | 4.8   | 600  | 0.1802          | -1.8764        | -16.7597         | 0.7400             | 14.8833         | -109.1467      | -86.5507     | -0.7921         | -0.7111       |
| 0.1906        | 5.2   | 650  | 0.1802          | -1.8747        | -16.8014         | 0.7400             | 14.9267         | -109.2300      | -86.5471     | -0.7919         | -0.7103       |
| 0.2426        | 5.6   | 700  | 0.1802          | -1.8684        | -16.7797         | 0.7400             | 14.9113         | -109.1867      | -86.5346     | -0.7925         | -0.7117       |
| 0.2599        | 6.0   | 750  | 0.1802          | -1.8981        | -16.8462         | 0.7400             | 14.9481         | -109.3197      | -86.5939     | -0.7929         | -0.7119       |
| 0.1213        | 6.4   | 800  | 0.1802          | -1.8918        | -16.8690         | 0.7400             | 14.9772         | -109.3652      | -86.5813     | -0.7929         | -0.7119       |
| 0.2426        | 6.8   | 850  | 0.1802          | -1.8689        | -16.8074         | 0.7400             | 14.9386         | -109.2421      | -86.5355     | -0.7932         | -0.7122       |
| 0.1733        | 7.2   | 900  | 0.1802          | -1.8717        | -16.8482         | 0.7400             | 14.9765         | -109.3236      | -86.5412     | -0.7924         | -0.7110       |
| 0.1386        | 7.6   | 950  | 0.1802          | -1.9143        | -16.8686         | 0.7400             | 14.9543         | -109.3644      | -86.6264     | -0.7926         | -0.7113       |
| 0.156         | 8.0   | 1000 | 0.1802          | -1.9138        | -16.8689         | 0.7400             | 14.9551         | -109.3650      | -86.6253     | -0.7926         | -0.7113       |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.0.0+cu117
- Datasets 3.0.0
- Tokenizers 0.19.1