transformers tensorboard safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: Roberta-finetuned-Parsi-Mianeh-Corpus
  results: []
---

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# Roberta-finetuned-Parsi-Mianeh-Corpus

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.4224

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.8616        | 0.22  | 20   | 9.3761          |
| 9.2006        | 0.44  | 40   | 9.0198          |
| 8.8259        | 0.66  | 60   | 8.5620          |
| 8.5527        | 0.88  | 80   | 8.3050          |
| 8.1236        | 1.1   | 100  | 8.3048          |
| 7.991         | 1.32  | 120  | 8.1298          |
| 7.9292        | 1.54  | 140  | 7.9720          |
| 7.7596        | 1.76  | 160  | 7.7534          |
| 7.6453        | 1.98  | 180  | 7.6088          |
| 7.547         | 2.2   | 200  | 7.4625          |
| 7.512         | 2.42  | 220  | 7.4361          |
| 7.32          | 2.64  | 240  | 7.4219          |
| 7.3282        | 2.86  | 260  | 7.4224          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
