---
license: apache-2.0
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
tags:
- xcomet_xl_xxl
- generated_from_trainer
model-index:
- name: sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sft-xcomet_xl_xxl-chosen-10lp-shuff-full-tiny3

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co./TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the Unbabel/TowerAligned-v0.1 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7148
- Nll Loss: 0.7148
- Logps/best: -71.0023
- Rewards/chosen: 3.2352
- Rewards/rejected: 2.8073
- Rewards/accuracies: 0.6780
- Rewards/margins: 0.4279
- Logps/rejected: -69.3502
- Logps/chosen: -71.0023
- Logits/rejected: -1.7526
- Logits/chosen: -1.8804

## 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: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Nll Loss | Logps/best | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7347        | 0.2127 | 100  | 0.7451          | 0.7451   | -73.9864   | 2.9368         | 2.5650           | 0.6820             | 0.3718          | -71.7727       | -73.9864     | -1.7676         | -1.8958       |
| 0.7192        | 0.4254 | 200  | 0.7245          | 0.7245   | -71.9551   | 3.1399         | 2.7227           | 0.6760             | 0.4172          | -70.1954       | -71.9551     | -1.7508         | -1.8778       |
| 0.7184        | 0.6381 | 300  | 0.7170          | 0.7170   | -71.2174   | 3.2137         | 2.7824           | 0.6800             | 0.4312          | -69.5984       | -71.2174     | -1.7526         | -1.8800       |
| 0.6793        | 0.8508 | 400  | 0.7148          | 0.7148   | -71.0023   | 3.2352         | 2.8073           | 0.6780             | 0.4279          | -69.3502       | -71.0023     | -1.7526         | -1.8804       |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1