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hihu4 – AI Model by wnic00 | AlphaNeural AI
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hihu4
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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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hihu4
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: 0.8167
Accuracy: 0.7268
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3799
1.0
1648
0.8540
0.7218
0.3021
2.0
3296
0.9949
0.7165
0.3724
3.0
4944
0.8167
0.7268
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cpu
Datasets 2.14.4
Tokenizers 0.13.0
