Transformersbook

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Average Model Cost: $0.0000

Number of Runs: 4,591

Models by this creator

pegasus-samsum

pegasus-samsum

transformersbook

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2.0K

Huggingface

distilbert-base-uncased-finetuned-emotion

distilbert-base-uncased-finetuned-emotion

distilbert-base-uncased-finetuned-emotion This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. The model is trained in Chapter 2: Text Classification in the NLP with Transformers book. You can find the full code in the accompanying Github repository. It achieves the following results on the evaluation set: Loss: 0.2192 Accuracy: 0.927 F1: 0.9272 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: 64 eval_batch_size: 64 seed: 42 optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 lr_scheduler_type: linear num_epochs: 2 Training results Framework versions Transformers 4.11.3 Pytorch 1.9.1+cu102 Datasets 1.13.0 Tokenizers 0.10.3

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$-/run

998

Huggingface

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