---
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-tiny64
  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-tiny64

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: 0.7255
- Nll Loss: 0.7255
- Logps/best: -72.0598
- Rewards/chosen: 3.1294
- Rewards/rejected: 2.7165
- Rewards/accuracies: 0.6760
- Rewards/margins: 0.4130
- Logps/rejected: -70.2582
- Logps/chosen: -72.0598
- Logits/rejected: -1.7625
- Logits/chosen: -1.8900

## 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: 64
- total_train_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7157        | 0.4254 | 100  | 0.7343          | 0.7343   | -72.9338   | 3.0420         | 2.6428           | 0.6900             | 0.3992          | -70.9947       | -72.9338     | -1.7591         | -1.8861       |
| 0.7177        | 0.8508 | 200  | 0.7255          | 0.7255   | -72.0598   | 3.1294         | 2.7165           | 0.6760             | 0.4130          | -70.2582       | -72.0598     | -1.7625         | -1.8900       |


### Framework versions

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