translation_llm

ekaterinatao/translation_llm

translation_llm is a machine learning model from ekaterinatao. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.

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

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Hugging Face

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At a glance

Library: peft
Access: Public
Created: Oct 1, 2024
Updated: Oct 4, 2024
SHA: 43fb0a25

Base models

NousResearch/Llama-2-7b-hf

Datasets

Model card

From the Hugging Face model README

translation_llm

This model is a fine-tuned version of NousResearch/Llama-2-7b-hf on an dataset that combines russian sentences from two datasets: parallel-sentences-tatoeba and parallel-sentences-wikimatrix. The model is finetuned for russian language.

It achieves the following results on the evaluation set:

Loss: 0.0039

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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.0063	0.8591	1000	0.0110
0.0041	1.7181	2000	0.0089
0.0016	2.5772	3000	0.0086
0.0006	3.4362	4000	0.0041
0.0023	4.2953	5000	0.0039

Framework versions

PEFT 0.13.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Library: peft
Languages: ru
Created: Oct 1, 2024
Updated: Oct 4, 2024