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twitter-roberta-base-2022-154m-finetuned-reddit – AI Model by Priya-Shah23 | AlphaNeural AI
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twitter-roberta-base-2022-154m-finetuned-reddit
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transformers
tensorboard
safetensors
roberta
fill-mask
generated_from_trainer
cardiffnlp/twitter-roberta-base-2022-154m
finetune
mit
autotrain_compatible
endpoints_compatible
us
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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