nkto2

stojchet/nkto2

nkto2 is a text generation model from stojchet. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

17% of all-time downloads

All-time downloads

Public

Parameters

1.3B

5.4 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors5.4 GB · 100%

At a glance

Task: Text Generation
Library: transformers
License: other
Model type: llama
Access: Public
Created: Jul 16, 2024
Updated: Jul 16, 2024
SHA: c85653f8

Try a prompt

Base models

deepseek-ai/deepseek-coder-1.3b-base

Model card

From the Hugging Face model README

nkto2

This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1776
Eval/rewards/chosen: 2.8408
Eval/logps/chosen: -114.1873
Eval/rewards/rejected: -13.1753
Eval/logps/rejected: -312.8098
Eval/rewards/margins: 16.0161
Eval/kl: 11.2374

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-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 200
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1137	1.8286	100	0.1776	11.2374

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Task: Text Generation
Library: transformers
Type: llama
License: other
Created: Jul 16, 2024
Updated: Jul 16, 2024