Ido-shraga/modernbert-tweet-sentiment

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modernbert-tweet-sentiment

This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.0680
• —Accuracy: 0.7305
• —F1 Macro: 0.7138
• —F1 Negative: 0.6447
• —F1 Neutral: 0.7144
• —F1 Positive: 0.7822

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
• —trainbatchsize: 32
• —evalbatchsize: 64
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 5.16.1
• —Pytorch 2.13.0+cu130
• —Datasets 5.0.1
• —Tokenizers 0.23.1

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Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = 'Ido-shraga/modernbert-tweet-sentiment'
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

For non-causal architectures, replace AutoModelForCausalLM with the appropriate AutoModel class.