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