---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: hishab/titulm-1b-enbn-v1
model-index:
- name: mistral_finetuned
  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. -->

# mistral_finetuned

This model is a fine-tuned version of [hishab/titulm-1b-enbn-v1](https://huggingface.co/hishab/titulm-1b-enbn-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.1066
- eval_runtime: 18.7031
- eval_samples_per_second: 5.347
- eval_steps_per_second: 2.673
- epoch: 0.0
- step: 100

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- training_steps: 10000

### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2