Instructions to use gabrielkytz/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gabrielkytz/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gabrielkytz/finetuning-sentiment-model-3000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gabrielkytz/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("gabrielkytz/finetuning-sentiment-model-3000-samples") - Notebooks
- Google Colab
- Kaggle
Commit ·
9fc5a45
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Parent(s): e1dabbd
Training in progress, epoch 1
Browse files- README.md +7 -8
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
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tags:
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- generated_from_trainer
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model-index:
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# finetuning-sentiment-model-3000-samples
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.1
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- Datasets 2.
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- Tokenizers 0.13.
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---
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tags:
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- generated_from_trainer
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model-index:
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# finetuning-sentiment-model-3000-samples
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 20
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- eval_batch_size: 20
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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pytorch_model.bin
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training_args.bin
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