---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: saiga_task_double_lora350
  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. -->

# saiga_task_double_lora350

This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6634

## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 350

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5302        | 9.26  | 50   | 2.1777          |
| 1.0061        | 18.52 | 100  | 2.4897          |
| 0.5505        | 27.78 | 150  | 2.8614          |
| 0.2832        | 37.04 | 200  | 3.2451          |
| 0.1525        | 46.3  | 250  | 3.5339          |
| 0.1026        | 55.56 | 300  | 3.6407          |
| 0.0902        | 64.81 | 350  | 3.6634          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2