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Jerteh355SENTNEG6 – AI Model by Tanor | AlphaNeural AI
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Tanor
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Jerteh355SENTNEG6
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transformers
safetensors
roberta
text-classification
generated_from_trainer
jerteh/Jerteh-355
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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Model card
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Jerteh355SENTNEG6
This model is a fine-tuned version of
jerteh/Jerteh-355
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0637
F1: 0.5490
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: 64
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 32
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
0.9843
47
0.0487
0.4878
No log
1.9895
95
0.0445
0.4737
No log
2.9948
143
0.0566
0.5306
No log
4.0
191
0.0594
0.5306
No log
4.9843
238
0.0637
0.5490
Framework versions
Transformers 4.40.1
Pytorch 2.2.2
Datasets 2.19.0
Tokenizers 0.19.1
