---
base_model: t-bank-ai/T-lite-instruct-0.1
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: tmp
  results: []
license: apache-2.0
datasets:
- Vikhrmodels/Grounded-RAG-RU-v2
---

<!-- 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. -->

# tmp

This model is a fine-tuned version of [t-bank-ai/T-lite-instruct-0.1](https://huggingface.co./t-bank-ai/T-lite-instruct-0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0736

## 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: 8e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 3
- training_steps: 20

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0658        | 0.0002 | 1    | 1.0817          |
| 0.9432        | 0.0004 | 2    | 1.0814          |
| 1.1006        | 0.0006 | 3    | 1.0809          |
| 0.8838        | 0.0008 | 4    | 1.0801          |
| 1.1528        | 0.0010 | 5    | 1.0793          |
| 0.8889        | 0.0012 | 6    | 1.0786          |
| 1.1655        | 0.0014 | 7    | 1.0780          |
| 1.0079        | 0.0016 | 8    | 1.0774          |
| 1.1685        | 0.0018 | 9    | 1.0768          |
| 1.1659        | 0.0020 | 10   | 1.0763          |
| 1.1395        | 0.0022 | 11   | 1.0758          |
| 0.9426        | 0.0024 | 12   | 1.0753          |
| 0.9772        | 0.0026 | 13   | 1.0750          |
| 1.3758        | 0.0028 | 14   | 1.0746          |
| 0.7022        | 0.0030 | 15   | 1.0743          |
| 1.5761        | 0.0032 | 16   | 1.0741          |
| 1.2847        | 0.0034 | 17   | 1.0739          |
| 1.1528        | 0.0036 | 18   | 1.0737          |
| 0.8362        | 0.0038 | 19   | 1.0736          |
| 0.9096        | 0.0040 | 20   | 1.0736          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0