---
license: apache-2.0
base_model: tsavage68/UTI_M2_1000steps_1e7rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: UTI2_M2_100steps_1e7rate_05beta_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_1e7rate_05beta_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: 0.5485
- Rewards/chosen: 0.0321
- Rewards/rejected: -2.2707
- Rewards/accuracies: 0.2100
- Rewards/margins: 2.3028
- Logps/rejected: -13.9154
- Logps/chosen: -4.4783
- Logits/rejected: -2.6560
- Logits/chosen: -2.6555

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7009        | 0.3333 | 25   | 0.6667          | 0.0016         | -0.0631          | 0.1900             | 0.0647          | -9.5002        | -4.5393      | -2.7063         | -2.7055       |
| 0.5794        | 0.6667 | 50   | 0.5690          | 0.0605         | -0.5674          | 0.2100             | 0.6279          | -10.5088       | -4.4215      | -2.6950         | -2.6942       |
| 0.5772        | 1.0    | 75   | 0.5638          | -0.0374        | -1.8778          | 0.2000             | 1.8404          | -13.1295       | -4.6173      | -2.6653         | -2.6647       |
| 0.5715        | 1.3333 | 100  | 0.5485          | 0.0321         | -2.2707          | 0.2100             | 2.3028          | -13.9154       | -4.4783      | -2.6560         | -2.6555       |


### Framework versions

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