---
library_name: transformers
license: llama3
base_model: tsavage68/IE_L3_1000steps_1e6rate_SFT
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: IE_L3_1000steps_1e5rate_03beta_SFT
  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_L3_1000steps_1e5rate_03beta_SFT

This model is a fine-tuned version of [tsavage68/IE_L3_1000steps_1e6rate_SFT](https://huggingface.co/tsavage68/IE_L3_1000steps_1e6rate_SFT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1802
- Rewards/chosen: -1.8241
- Rewards/rejected: -17.1487
- Rewards/accuracies: 0.7400
- Rewards/margins: 15.3246
- Logps/rejected: -132.7896
- Logps/chosen: -88.8782
- Logits/rejected: -0.8401
- Logits/chosen: -0.7195

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1906        | 0.4   | 50   | 0.1802          | -1.7929        | -17.0298         | 0.7400             | 15.2369         | -132.3931      | -88.7740     | -0.8398         | -0.7194       |
| 0.1386        | 0.8   | 100  | 0.1802          | -1.7771        | -17.0460         | 0.7400             | 15.2689         | -132.4471      | -88.7214     | -0.8398         | -0.7192       |
| 0.1386        | 1.2   | 150  | 0.1802          | -1.7982        | -17.0858         | 0.7400             | 15.2876         | -132.5800      | -88.7917     | -0.8401         | -0.7193       |
| 0.1733        | 1.6   | 200  | 0.1802          | -1.7978        | -17.0381         | 0.7400             | 15.2403         | -132.4209      | -88.7903     | -0.8396         | -0.7190       |
| 0.2253        | 2.0   | 250  | 0.1802          | -1.7877        | -17.0275         | 0.7400             | 15.2398         | -132.3854      | -88.7567     | -0.8395         | -0.7189       |
| 0.1386        | 2.4   | 300  | 0.1802          | -1.8012        | -17.0499         | 0.7400             | 15.2487         | -132.4602      | -88.8018     | -0.8399         | -0.7195       |
| 0.1213        | 2.8   | 350  | 0.1802          | -1.7983        | -17.0687         | 0.7400             | 15.2705         | -132.5230      | -88.7921     | -0.8395         | -0.7189       |
| 0.1906        | 3.2   | 400  | 0.1802          | -1.7995        | -17.0794         | 0.7400             | 15.2799         | -132.5586      | -88.7960     | -0.8403         | -0.7193       |
| 0.1906        | 3.6   | 450  | 0.1802          | -1.8034        | -17.0941         | 0.7400             | 15.2908         | -132.6077      | -88.8090     | -0.8399         | -0.7193       |
| 0.2079        | 4.0   | 500  | 0.1802          | -1.8158        | -17.1281         | 0.7400             | 15.3123         | -132.7209      | -88.8505     | -0.8397         | -0.7185       |
| 0.156         | 4.4   | 550  | 0.1802          | -1.8012        | -17.1383         | 0.7400             | 15.3371         | -132.7549      | -88.8016     | -0.8406         | -0.7196       |
| 0.1213        | 4.8   | 600  | 0.1802          | -1.7944        | -17.0830         | 0.7400             | 15.2886         | -132.5706      | -88.7792     | -0.8403         | -0.7195       |
| 0.1906        | 5.2   | 650  | 0.1802          | -1.7935        | -17.1490         | 0.7400             | 15.3555         | -132.7905      | -88.7761     | -0.8407         | -0.7197       |
| 0.2426        | 5.6   | 700  | 0.1802          | -1.7991        | -17.1635         | 0.7400             | 15.3644         | -132.8388      | -88.7946     | -0.8399         | -0.7188       |
| 0.2599        | 6.0   | 750  | 0.1802          | -1.7918        | -17.1508         | 0.7400             | 15.3590         | -132.7967      | -88.7704     | -0.8392         | -0.7182       |
| 0.1213        | 6.4   | 800  | 0.1802          | -1.8045        | -17.1834         | 0.7400             | 15.3789         | -132.9053      | -88.8128     | -0.8395         | -0.7183       |
| 0.2426        | 6.8   | 850  | 0.1802          | -1.8050        | -17.1755         | 0.7400             | 15.3706         | -132.8791      | -88.8143     | -0.8416         | -0.7202       |
| 0.1733        | 7.2   | 900  | 0.1802          | -1.7886        | -17.1414         | 0.7400             | 15.3528         | -132.7653      | -88.7597     | -0.8403         | -0.7193       |
| 0.1386        | 7.6   | 950  | 0.1802          | -1.8171        | -17.1472         | 0.7400             | 15.3300         | -132.7844      | -88.8548     | -0.8401         | -0.7195       |
| 0.156         | 8.0   | 1000 | 0.1802          | -1.8241        | -17.1487         | 0.7400             | 15.3246         | -132.7896      | -88.8782     | -0.8401         | -0.7195       |


### Framework versions

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