---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: Saiga_timelist_task20steps
  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_timelist_task20steps

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: 2.0584

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2298        | 0.37  | 2    | 2.2031          |
| 2.0996        | 0.74  | 4    | 2.1519          |
| 2.0299        | 1.11  | 6    | 2.1202          |
| 2.0007        | 1.48  | 8    | 2.0978          |
| 1.9777        | 1.85  | 10   | 2.0817          |
| 1.9089        | 2.22  | 12   | 2.0715          |
| 1.9379        | 2.59  | 14   | 2.0650          |
| 1.9515        | 2.96  | 16   | 2.0610          |
| 1.9178        | 3.33  | 18   | 2.0589          |
| 1.8801        | 3.7   | 20   | 2.0584          |


### Framework versions

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