---
license: llama3
base_model: tsavage68/Summary_L3_1000steps_1e7rate_SFT2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: Summary_L3_1000steps_1e8rate_03beta_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. -->

# Summary_L3_1000steps_1e8rate_03beta_CSFTDPO

This model is a fine-tuned version of [tsavage68/Summary_L3_1000steps_1e7rate_SFT2](https://huggingface.co/tsavage68/Summary_L3_1000steps_1e7rate_SFT2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6919
- Rewards/chosen: -0.0023
- Rewards/rejected: -0.0059
- Rewards/accuracies: 0.0650
- Rewards/margins: 0.0036
- Logps/rejected: -15.2835
- Logps/chosen: -9.3904
- Logits/rejected: -1.0962
- Logits/chosen: -1.0977

## 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-08
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6866        | 0.2004 | 50   | 0.6914          | -0.0024        | -0.0068          | 0.0750             | 0.0044          | -15.2865       | -9.3909      | -1.0958         | -1.0972       |
| 0.6966        | 0.4008 | 100  | 0.6896          | 0.0031         | -0.0051          | 0.0850             | 0.0082          | -15.2806       | -9.3724      | -1.0965         | -1.0979       |
| 0.6924        | 0.6012 | 150  | 0.6911          | -0.0000        | -0.0053          | 0.0850             | 0.0053          | -15.2813       | -9.3828      | -1.0957         | -1.0972       |
| 0.6908        | 0.8016 | 200  | 0.6901          | 0.0009         | -0.0058          | 0.0900             | 0.0066          | -15.2830       | -9.3799      | -1.0957         | -1.0971       |
| 0.6922        | 1.0020 | 250  | 0.6889          | 0.0008         | -0.0086          | 0.0950             | 0.0094          | -15.2923       | -9.3800      | -1.0959         | -1.0974       |
| 0.6944        | 1.2024 | 300  | 0.6906          | -0.0011        | -0.0069          | 0.0900             | 0.0058          | -15.2869       | -9.3865      | -1.0957         | -1.0971       |
| 0.6919        | 1.4028 | 350  | 0.6878          | 0.0019         | -0.0099          | 0.0900             | 0.0117          | -15.2966       | -9.3766      | -1.0961         | -1.0975       |
| 0.6937        | 1.6032 | 400  | 0.6879          | 0.0049         | -0.0067          | 0.0900             | 0.0116          | -15.2860       | -9.3664      | -1.0963         | -1.0977       |
| 0.6927        | 1.8036 | 450  | 0.6903          | 0.0001         | -0.0065          | 0.0850             | 0.0066          | -15.2854       | -9.3824      | -1.0962         | -1.0977       |
| 0.6917        | 2.0040 | 500  | 0.6922          | -0.0002        | -0.0030          | 0.0700             | 0.0028          | -15.2739       | -9.3835      | -1.0959         | -1.0973       |
| 0.6983        | 2.2044 | 550  | 0.6911          | -0.0014        | -0.0068          | 0.0750             | 0.0053          | -15.2863       | -9.3875      | -1.0960         | -1.0974       |
| 0.6901        | 2.4048 | 600  | 0.6902          | 0.0002         | -0.0065          | 0.0900             | 0.0067          | -15.2854       | -9.3820      | -1.0967         | -1.0982       |
| 0.6859        | 2.6052 | 650  | 0.6890          | 0.0027         | -0.0066          | 0.0950             | 0.0093          | -15.2858       | -9.3738      | -1.0964         | -1.0978       |
| 0.694         | 2.8056 | 700  | 0.6910          | 0.0002         | -0.0048          | 0.0850             | 0.0050          | -15.2799       | -9.3823      | -1.0963         | -1.0978       |
| 0.6909        | 3.0060 | 750  | 0.6936          | -0.0027        | -0.0025          | 0.0600             | -0.0002         | -15.2720       | -9.3918      | -1.0964         | -1.0978       |
| 0.6909        | 3.2064 | 800  | 0.6912          | -0.0017        | -0.0065          | 0.0650             | 0.0049          | -15.2855       | -9.3883      | -1.0963         | -1.0977       |
| 0.6929        | 3.4068 | 850  | 0.6914          | -0.0008        | -0.0054          | 0.0800             | 0.0047          | -15.2819       | -9.3853      | -1.0962         | -1.0976       |
| 0.6938        | 3.6072 | 900  | 0.6919          | -0.0023        | -0.0059          | 0.0650             | 0.0036          | -15.2835       | -9.3904      | -1.0962         | -1.0977       |
| 0.69          | 3.8076 | 950  | 0.6919          | -0.0023        | -0.0059          | 0.0650             | 0.0036          | -15.2835       | -9.3904      | -1.0962         | -1.0977       |
| 0.6968        | 4.0080 | 1000 | 0.6919          | -0.0023        | -0.0059          | 0.0650             | 0.0036          | -15.2835       | -9.3904      | -1.0962         | -1.0977       |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1