---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- orpo
- generated_from_trainer
model-index:
- name: Echo-IE-3B-v0.1
  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. -->

# Echo-IE-3B-v0.1

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1664
- Rewards/chosen: -0.0370
- Rewards/rejected: -0.3280
- Rewards/accuracies: 1.0
- Rewards/margins: 0.2910
- Logps/rejected: -3.2803
- Logps/chosen: -0.3698
- Logits/rejected: 1.0091
- Logits/chosen: 0.9877
- Nll Loss: 0.1600
- Log Odds Ratio: -0.0425
- Log Odds Chosen: 4.2039

## 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: 6e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.3327        | 1.0   | 44   | 0.3234          | -0.0664        | -0.1431          | 1.0                | 0.0767          | -1.4309        | -0.6641      | 0.4718          | 0.5480        | 0.2905   | -0.2860        | 1.2590          |
| 0.2004        | 2.0   | 88   | 0.2283          | -0.0488        | -0.2296          | 1.0                | 0.1809          | -2.2965        | -0.4877      | 0.6711          | 0.7162        | 0.2142   | -0.1075        | 2.7194          |
| 0.1661        | 3.0   | 132  | 0.1974          | -0.0423        | -0.2767          | 1.0                | 0.2344          | -2.7672        | -0.4230      | 0.8238          | 0.8408        | 0.1878   | -0.0679        | 3.4301          |
| 0.1227        | 4.0   | 176  | 0.1813          | -0.0392        | -0.2999          | 1.0                | 0.2607          | -2.9992        | -0.3919      | 0.8916          | 0.8935        | 0.1734   | -0.0541        | 3.7906          |
| 0.1434        | 5.0   | 220  | 0.1743          | -0.0380        | -0.3141          | 1.0                | 0.2762          | -3.1414        | -0.3799      | 0.9271          | 0.9167        | 0.1671   | -0.0484        | 4.0032          |
| 0.0994        | 6.0   | 264  | 0.1697          | -0.0373        | -0.3202          | 1.0                | 0.2828          | -3.2017        | -0.3732      | 0.9822          | 0.9679        | 0.1629   | -0.0453        | 4.0966          |
| 0.0896        | 7.0   | 308  | 0.1677          | -0.0371        | -0.3247          | 1.0                | 0.2876          | -3.2469        | -0.3706      | 0.9892          | 0.9698        | 0.1612   | -0.0436        | 4.1599          |
| 0.1047        | 8.0   | 352  | 0.1666          | -0.0370        | -0.3268          | 1.0                | 0.2899          | -3.2685        | -0.3695      | 1.0025          | 0.9822        | 0.1602   | -0.0429        | 4.1914          |
| 0.0979        | 9.0   | 396  | 0.1662          | -0.0369        | -0.3281          | 1.0                | 0.2911          | -3.2808        | -0.3694      | 1.0120          | 0.9910        | 0.1598   | -0.0426        | 4.2063          |
| 0.0986        | 10.0  | 440  | 0.1664          | -0.0370        | -0.3280          | 1.0                | 0.2910          | -3.2803        | -0.3698      | 1.0091          | 0.9877        | 0.1600   | -0.0425        | 4.2039          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1