---
license: apache-2.0
base_model: tsavage68/UTI_M2_1000steps_1e7rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI2_M2_75steps_1e7rate_01beta_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_75steps_1e7rate_01beta_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: 0.1276
- Rewards/chosen: 0.0336
- Rewards/rejected: -4.2997
- Rewards/accuracies: 0.8800
- Rewards/margins: 4.3333
- Logps/rejected: -82.3535
- Logps/chosen: -19.5858
- Logits/rejected: -2.5678
- Logits/chosen: -2.5670

## 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-07
- 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: 75

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6904        | 0.3333 | 25   | 0.6532          | 0.0086         | -0.0741          | 0.8500             | 0.0827          | -40.0972       | -19.8359     | -2.6814         | -2.6788       |
| 0.4057        | 0.6667 | 50   | 0.3414          | 0.0792         | -0.9298          | 0.8800             | 1.0089          | -48.6537       | -19.1297     | -2.6601         | -2.6575       |
| 0.0995        | 1.0    | 75   | 0.1276          | 0.0336         | -4.2997          | 0.8800             | 4.3333          | -82.3535       | -19.5858     | -2.5678         | -2.5670       |


### Framework versions

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