---
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-8B
tags:
- base_model:adapter:meta-llama/Llama-3.1-8B
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: ner-lora-llama31-8b-entity-aware
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ner-lora-llama31-8b-entity-aware

This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2018

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0301        | 0.4968 | 1529 | 0.1547          |
| 0.0141        | 0.9937 | 3058 | 0.1698          |
| 0.0021        | 1.4903 | 4587 | 0.2018          |


### Framework versions

- PEFT 0.18.0
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1