---
license: mit
base_model: cardiffnlp/twitter-roberta-base-2022-154m
tags:
- generated_from_trainer
model-index:
- name: twitter-roberta-base-2022-154m-finetuned-reddit
  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. -->

# twitter-roberta-base-2022-154m-finetuned-reddit

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-2022-154m](https://huggingface.co/cardiffnlp/twitter-roberta-base-2022-154m) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.9693
- eval_runtime: 13.863
- eval_samples_per_second: 491.018
- eval_steps_per_second: 15.365
- step: 0

## 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
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2