---
base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B
datasets:
- tttx/problem0_data
- barc0/transduction_formatted_rearc_dataset_100k
- barc0/transduction_heavy_100k_jsonl
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: engineer1-heavy-barc-llama3.1-8b-instruct-lora64-testtime-finetuning
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# engineer1-heavy-barc-llama3.1-8b-instruct-lora64-testtime-finetuning

This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on the tttx/problem0_data, the barc0/transduction_formatted_rearc_dataset_100k and the barc0/transduction_heavy_100k_jsonl datasets.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0016        | 1.0   | 1    | 0.0005          |
| 0.0014        | 2.0   | 2    | 0.0001          |
| 0.0001        | 3.0   | 3    | 0.0001          |
| 0.0001        | 4.0   | 4    | 0.0000          |
| 0.0           | 5.0   | 5    | 0.0000          |
| 0.0           | 6.0   | 6    | 0.0000          |
| 0.0           | 7.0   | 7    | 0.0000          |
| 0.0           | 8.0   | 8    | 0.0000          |
| 0.0           | 9.0   | 9    | 0.0000          |
| 0.0           | 10.0  | 10   | 0.0000          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1