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twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep2_bs16_lr2e-05_v1 – AI Model by PierrePol | AlphaNeural AI
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PierrePol
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twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep2_bs16_lr2e-05_v1
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment-latest
finetune
cc-by-4.0
text-embeddings-inference
endpoints_compatible
us
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twitter-roberta_stanfordnlp_imdb_SetFit_tweet_ep2_bs16_lr2e-05_v1
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment-latest
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2448
Accuracy: 0.925
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4415
1.0
250
0.2750
0.91
0.3659
2.0
500
0.2448
0.925
Framework versions
Transformers 5.9.0
Pytorch 2.12.0+cu126
Datasets 4.8.5
Tokenizers 0.22.2
