metadata

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: []

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

This model is a fine-tuned version of 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