---
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-fp16
model-index:
- name: Saiga_timelist_task100steps
  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_task100steps

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: 1.7978

## 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: 2e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 10
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.13  | 10   | 1.7979          |
| 1.6502        | 0.26  | 20   | 1.7978          |
| 1.6502        | 0.39  | 30   | 1.7978          |
| 1.675         | 0.52  | 40   | 1.7978          |
| 1.675         | 0.64  | 50   | 1.7978          |
| 1.7226        | 0.77  | 60   | 1.7978          |
| 1.7226        | 0.9   | 70   | 1.7978          |
| 1.6832        | 1.03  | 80   | 1.7977          |
| 1.6832        | 1.16  | 90   | 1.7979          |
| 1.6793        | 1.29  | 100  | 1.7978          |


### Framework versions

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