transformers safetensors roberta fill-mask generated_from_trainer base_model:Saphbn/distilroberta-base-finetuned-tweets-fullsample license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: Saphbn/distilroberta-base-finetuned-tweets-fullsample
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-tweets-fullsample
  results: []
---

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# distilroberta-base-finetuned-tweets-fullsample

This model is a fine-tuned version of [Saphbn/distilroberta-base-finetuned-tweets-fullsample](https://huggingface.co/Saphbn/distilroberta-base-finetuned-tweets-fullsample) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1873

## 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: 64
- eval_batch_size: 64
- seed: 111
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2589        | 1.0   | 715  | 2.2181          |
| 2.2097        | 2.0   | 1430 | 2.1982          |
| 2.1894        | 3.0   | 2145 | 2.1873          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
