---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: MRR-Roberta_without_squal_15k
  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. -->

# MRR-Roberta_without_squal_15k

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1563

## 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: 2e-05
- 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
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.8327        | 1.0   | 5797  | 0.9889          |
| 0.7944        | 2.0   | 11594 | 1.0074          |
| 0.6759        | 3.0   | 17391 | 0.7689          |
| 0.63          | 4.0   | 23188 | 0.6830          |
| 0.508         | 5.0   | 28985 | 0.7813          |
| 0.5907        | 6.0   | 34782 | 0.7577          |
| 0.4612        | 7.0   | 40579 | 0.7701          |
| 0.4485        | 8.0   | 46376 | 0.8050          |
| 0.3881        | 9.0   | 52173 | 0.8276          |
| 0.4072        | 10.0  | 57970 | 0.8701          |
| 0.3177        | 11.0  | 63767 | 0.9870          |
| 0.2954        | 12.0  | 69564 | 0.9968          |
| 0.2881        | 13.0  | 75361 | 1.1037          |
| 0.2106        | 14.0  | 81158 | 1.1053          |
| 0.2564        | 15.0  | 86955 | 1.1563          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3