---
library_name: transformers
license: apache-2.0
base_model: tsavage68/IE_M2_1000steps_1e7rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: IE_M2_1000steps_1e5rate_01beta_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_M2_1000steps_1e5rate_01beta_cSFTDPO

This model is a fine-tuned version of [tsavage68/IE_M2_1000steps_1e7rate_SFT](https://huggingface.co/tsavage68/IE_M2_1000steps_1e7rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3743
- Rewards/chosen: -2.2787
- Rewards/rejected: -22.2937
- Rewards/accuracies: 0.4600
- Rewards/margins: 20.0150
- Logps/rejected: -263.9586
- Logps/chosen: -64.9924
- Logits/rejected: -2.7884
- Logits/chosen: -2.7491

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.4505        | 0.4   | 50   | 0.3743          | -2.1144        | -14.8883         | 0.4600             | 12.7739         | -189.9051      | -63.3497     | -2.7726         | -2.7468       |
| 0.3812        | 0.8   | 100  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3119        | 1.2   | 150  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3639        | 1.6   | 200  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.4332        | 2.0   | 250  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3986        | 2.4   | 300  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3986        | 2.8   | 350  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.4505        | 3.2   | 400  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.4505        | 3.6   | 450  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.4332        | 4.0   | 500  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3292        | 4.4   | 550  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3639        | 4.8   | 600  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.4505        | 5.2   | 650  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.4505        | 5.6   | 700  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3639        | 6.0   | 750  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.2426        | 6.4   | 800  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.5025        | 6.8   | 850  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3119        | 7.2   | 900  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3466        | 7.6   | 950  | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |
| 0.3812        | 8.0   | 1000 | 0.3743          | -2.2787        | -22.2937         | 0.4600             | 20.0150         | -263.9586      | -64.9924     | -2.7884         | -2.7491       |


### Framework versions

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