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deberta-v3-base-rotten-tomatoes – AI Model by marcelomoreno26 | AlphaNeural AI
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marcelomoreno26
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deberta-v3-base-rotten-tomatoes
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transformers
safetensors
deberta-v2
text-classification
generated_from_trainer
microsoft/deberta-v3-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Model card
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deberta-v3-base-rotten-tomatoes-hp2
This model is a fine-tuned version of
microsoft/deberta-v3-base
on the
rotten_tomatoes
dataset. It achieves the following results on the evaluation set:
Loss: 0.2619
F1: 0.9184
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: 7.5e-06
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
267
0.2430
0.9146
0.3091
2.0
534
0.2499
0.9156
0.3091
3.0
801
0.2829
0.9174
0.1496
4.0
1068
0.2742
0.9137
0.1496
5.0
1335
0.3845
0.9099
0.0864
6.0
1602
0.4254
0.9024
Framework versions
Transformers 4.39.1
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.2
