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hihu3 – AI Model by wnic00 | AlphaNeural AI
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hihu3
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transformers
pytorch
tensorboard
xlm-roberta
text-classification
generated_from_trainer
citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
finetune
autotrain_compatible
endpoints_compatible
us
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hihu3
This model is a fine-tuned version of
citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7639
Accuracy: 0.7314
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 600
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.7062
1.0
1648
0.6899
0.7165
0.6047
2.0
3296
0.6696
0.7271
0.5057
3.0
4944
0.6754
0.7341
0.4325
4.0
6592
0.7141
0.7305
0.4025
5.0
8240
0.7639
0.7314
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cpu
Datasets 2.14.4
Tokenizers 0.13.0
