---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: saiga_double_lora200
  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_double_lora200

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: 2.4338

## 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: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5965        | 2.86  | 20   | 1.6827          |
| 1.4291        | 5.71  | 40   | 1.7434          |
| 1.2662        | 8.57  | 60   | 1.8297          |
| 1.1034        | 11.43 | 80   | 1.9381          |
| 0.9573        | 14.29 | 100  | 2.0414          |
| 0.8209        | 17.14 | 120  | 2.1761          |
| 0.71          | 20.0  | 140  | 2.2933          |
| 0.6181        | 22.86 | 160  | 2.3642          |
| 0.572         | 25.71 | 180  | 2.4225          |
| 0.544         | 28.57 | 200  | 2.4338          |


### Framework versions

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