---
license: other
library_name: peft
tags:
- llama-factory
- lora
- generated_from_trainer
base_model: /data1/model/llama2/meta-llama/Llama2-13b
model-index:
- name: logical_deduction_no_sys
  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. -->

# logical_deduction_no_sys

This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the logical_deduction_no_sys dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1318

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- total_train_batch_size: 24
- total_eval_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.121         | 1.16  | 50   | 0.1113          |
| 0.0574        | 2.33  | 100  | 0.0727          |
| 0.0405        | 3.49  | 150  | 0.0608          |
| 0.0319        | 4.65  | 200  | 0.0899          |
| 0.0236        | 5.81  | 250  | 0.0640          |
| 0.0152        | 6.98  | 300  | 0.0996          |
| 0.0053        | 8.14  | 350  | 0.1150          |
| 0.0021        | 9.3   | 400  | 0.1312          |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2