federdm
/

twitter-finetuned-bart

Text Classification

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results

This model is a fine-tuned version of facebook/bart-large-mnli on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5824

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	120	0.5456
No log	2.0	240	0.7619
No log	3.0	360	0.5824

Framework versions

Transformers 4.46.3
Pytorch 2.5.1+cpu
Datasets 3.1.0
Tokenizers 0.20.3

Downloads last month: 14

Safetensors

Model size

407M params

Tensor type

F32

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Text Classification

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Base model

facebook/bart-large-mnli

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Evaluation results

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