---
base_model: meta-llama/Llama-3.1-8B-Instruct
library_name: peft
license: other
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: climate
  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. -->

# climate

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the climate_1_day dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4520

## 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: 12
- eval_batch_size: 12
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 24
- total_eval_batch_size: 24
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8708        | 0.0267 | 10   | 1.7567          |
| 1.7168        | 0.0533 | 20   | 1.6884          |
| 1.6815        | 0.08   | 30   | 1.6499          |
| 1.6333        | 0.1067 | 40   | 1.6236          |
| 1.6028        | 0.1333 | 50   | 1.6039          |
| 1.5665        | 0.16   | 60   | 1.5895          |
| 1.574         | 0.1867 | 70   | 1.5772          |
| 1.5862        | 0.2133 | 80   | 1.5648          |
| 1.5218        | 0.24   | 90   | 1.5564          |
| 1.5451        | 0.2667 | 100  | 1.5466          |
| 1.5011        | 0.2933 | 110  | 1.5382          |
| 1.5182        | 0.32   | 120  | 1.5328          |
| 1.5331        | 0.3467 | 130  | 1.5240          |
| 1.5096        | 0.3733 | 140  | 1.5180          |
| 1.5433        | 0.4    | 150  | 1.5125          |
| 1.4919        | 0.4267 | 160  | 1.5082          |
| 1.5119        | 0.4533 | 170  | 1.5037          |
| 1.4898        | 0.48   | 180  | 1.4962          |
| 1.4879        | 0.5067 | 190  | 1.4910          |
| 1.4813        | 0.5333 | 200  | 1.4869          |
| 1.4776        | 0.56   | 210  | 1.4821          |
| 1.4786        | 0.5867 | 220  | 1.4783          |
| 1.4825        | 0.6133 | 230  | 1.4740          |
| 1.4525        | 0.64   | 240  | 1.4710          |
| 1.4794        | 0.6667 | 250  | 1.4680          |
| 1.4785        | 0.6933 | 260  | 1.4655          |
| 1.4523        | 0.72   | 270  | 1.4628          |
| 1.4618        | 0.7467 | 280  | 1.4605          |
| 1.4751        | 0.7733 | 290  | 1.4581          |
| 1.4263        | 0.8    | 300  | 1.4561          |
| 1.4421        | 0.8267 | 310  | 1.4548          |
| 1.4824        | 0.8533 | 320  | 1.4539          |
| 1.4675        | 0.88   | 330  | 1.4531          |
| 1.4891        | 0.9067 | 340  | 1.4525          |
| 1.4617        | 0.9333 | 350  | 1.4520          |
| 1.4404        | 0.96   | 360  | 1.4521          |
| 1.44          | 0.9867 | 370  | 1.4520          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.46.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.1