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twitter-roberta-base-sentiment-latest_23122024T103016 – AI Model by khilan-crest | AlphaNeural AI
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twitter-roberta-base-sentiment-latest_23122024T103016
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transformers
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment-latest
finetune
autotrain_compatible
endpoints_compatible
us
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twitter-roberta-base-sentiment-latest_23122024T103016
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment-latest
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9595
F1: 0.5706
Learning Rate: 1e-07
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
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Rate
No log
0.9984
320
0.9595
0.5706
1e-07
Framework versions
Transformers 4.46.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.20.3
