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twitter-roberta-base-sentiment-latest_31122024T104003 – AI Model by khilan-crest | AlphaNeural AI
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twitter-roberta-base-sentiment-latest_31122024T104003
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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_31122024T104003
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: 0.8857
F1: 0.6699
Learning Rate: 0.0
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Rate
No log
1.0
323
0.9373
0.5964
0.0000
1.1064
2.0
646
0.8857
0.6699
0.0000
1.1064
3.0
969
0.9001
0.6854
0.0000
0.6612
4.0
1292
0.9745
0.6837
0.0000
0.4084
5.0
1615
0.9911
0.6808
0.0
Framework versions
Transformers 4.46.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.20.3
