---
license: apache-2.0
base_model: sdadas/mmlw-retrieval-roberta-large
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: finetuned-roberta-large-gpt-exam-1
  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. -->

# finetuned-roberta-large-gpt-exam-1

This model is a fine-tuned version of [sdadas/mmlw-retrieval-roberta-large](https://huggingface.co/sdadas/mmlw-retrieval-roberta-large) on the generator dataset.

## 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: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0