---
license: llama2
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: sarvamai/OpenHathi-7B-Hi-v0.1-Base
datasets:
- generator
model-index:
- name: openhathi_instruct
  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. -->

# openhathi_instruct

This model is a fine-tuned version of [sarvamai/OpenHathi-7B-Hi-v0.1-Base](https://huggingface.co/sarvamai/OpenHathi-7B-Hi-v0.1-Base) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2988

## 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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 4    | 2.5575          |
| 2.8332        | 2.0   | 8    | 1.8445          |
| 2.0322        | 3.0   | 12   | 1.6430          |
| 1.6405        | 4.0   | 16   | 1.4686          |
| 1.3921        | 5.0   | 20   | 1.3654          |
| 1.3921        | 6.0   | 24   | 1.3289          |
| 1.1752        | 7.0   | 28   | 1.3054          |
| 1.0246        | 8.0   | 32   | 1.3079          |
| 0.9262        | 9.0   | 36   | 1.2984          |
| 0.852         | 10.0  | 40   | 1.2988          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1