pytorch tensorboard roberta fill-mask transformers generated_from_trainer license:apache-2.0 model-index autotrain_compatible
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: all-distilroberta-v1-finetuned-DIT-10_epochs
  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. -->

# all-distilroberta-v1-finetuned-DIT-10_epochs

This model is a fine-tuned version of [sentence-transformers/all-distilroberta-v1](https://huggingface.co/sentence-transformers/all-distilroberta-v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0044

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 358  | 0.0196          |
| 0.3013        | 2.0   | 716  | 0.0092          |
| 0.0073        | 3.0   | 1074 | 0.0065          |
| 0.0073        | 4.0   | 1432 | 0.0054          |
| 0.0021        | 5.0   | 1790 | 0.0051          |
| 0.0007        | 6.0   | 2148 | 0.0047          |
| 0.0004        | 7.0   | 2506 | 0.0047          |
| 0.0004        | 8.0   | 2864 | 0.0046          |
| 0.0004        | 9.0   | 3222 | 0.0044          |
| 0.0003        | 10.0  | 3580 | 0.0044          |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.2+cpu
- Datasets 2.0.0
- Tokenizers 0.11.6
