---
license: apache-2.0
base_model: tsavage68/UTI_M2_1000steps_1e7rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI2_M2_100steps_1e6rate_03beta_CSFTDPO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# UTI2_M2_100steps_1e6rate_03beta_CSFTDPO

This model is a fine-tuned version of [tsavage68/UTI_M2_1000steps_1e7rate_SFT](https://huggingface.co/tsavage68/UTI_M2_1000steps_1e7rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5532
- Rewards/chosen: 0.1299
- Rewards/rejected: -1.4214
- Rewards/accuracies: 0.2100
- Rewards/margins: 1.5514
- Logps/rejected: -14.1121
- Logps/chosen: -4.1094
- Logits/rejected: -2.7051
- Logits/chosen: -2.7007

## 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-06
- 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: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.57          | 0.3333 | 25   | 0.5476          | 0.1996         | -1.9739          | 0.2100             | 2.1735          | -15.9537       | -3.8773      | -2.6278         | -2.6270       |
| 0.5545        | 0.6667 | 50   | 0.8328          | -0.3043        | -2.4867          | 0.1900             | 2.1824          | -17.6630       | -5.5567      | -2.6282         | -2.6278       |
| 0.5718        | 1.0    | 75   | 0.6837          | -0.0010        | -4.4519          | 0.2000             | 4.4509          | -24.2136       | -4.5457      | -2.5876         | -2.5866       |
| 1.5715        | 1.3333 | 100  | 0.5532          | 0.1299         | -1.4214          | 0.2100             | 1.5514          | -14.1121       | -4.1094      | -2.7051         | -2.7007       |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1