---
license: other
library_name: peft
tags:
- llama-factory
- lora
- unsloth
- generated_from_trainer
base_model: unsloth/llama-3-70b-Instruct-bnb-4bit
model-index:
- name: A61K
  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. -->

# A61K

This model is a fine-tuned version of [unsloth/llama-3-70b-Instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3-70b-Instruct-bnb-4bit) on the patents_A61K_cla_abs_det_sample_2100_balance_train_llama-factory dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3432

## 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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.5658        | 0.4938 | 100  | 0.4336          |
| 0.361         | 0.9877 | 200  | 0.3438          |
| 0.3343        | 1.4815 | 300  | 0.3503          |
| 0.3275        | 1.9753 | 400  | 0.3462          |
| 0.2916        | 2.4691 | 500  | 0.3432          |
| 0.291         | 2.9630 | 600  | 0.3441          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1