---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: Saiga_timelist_task200steps
  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_task200steps

This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2212

## 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: 5e-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1939        | 0.64  | 25   | 2.2449          |
| 2.2126        | 1.29  | 50   | 2.2347          |
| 2.174         | 1.93  | 75   | 2.2312          |
| 2.1759        | 2.58  | 100  | 2.2255          |
| 2.1884        | 3.22  | 125  | 2.2223          |
| 2.1752        | 3.87  | 150  | 2.2217          |
| 2.1904        | 4.51  | 175  | 2.2215          |
| 2.1686        | 5.15  | 200  | 2.2212          |


### Framework versions

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