---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: saiga_1st_attempt
  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_1st_attempt

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: 1.7981

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7044        | 1.43  | 10   | 1.6775          |
| 1.6147        | 2.86  | 20   | 1.6721          |
| 1.5209        | 4.29  | 30   | 1.6832          |
| 1.4711        | 5.71  | 40   | 1.7075          |
| 1.4222        | 7.14  | 50   | 1.7207          |
| 1.3594        | 8.57  | 60   | 1.7500          |
| 1.3276        | 10.0  | 70   | 1.7686          |
| 1.2995        | 11.43 | 80   | 1.7832          |
| 1.2516        | 12.86 | 90   | 1.7999          |
| 1.2647        | 14.29 | 100  | 1.7981          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2