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twitter-xlm-roberta-base-sentiment-finetuned-marc-tn-v1.1 – AI Model by betteib | AlphaNeural AI
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twitter-xlm-roberta-base-sentiment-finetuned-marc-tn-v1.1
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transformers
tensorboard
safetensors
xlm-roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-xlm-roberta-base-sentiment
finetune
autotrain_compatible
endpoints_compatible
us
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twitter-xlm-roberta-base-sentiment-finetuned-marc-tn-v1.1
This model is a fine-tuned version of
cardiffnlp/twitter-xlm-roberta-base-sentiment
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5940
Mae: 0.2556
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: 13
eval_batch_size: 13
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Mae
0.4596
1.0
3203
0.6163
0.3195
0.3846
2.0
6406
0.5464
0.2669
0.3193
3.0
9609
0.5940
0.2556
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
