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finetuned_sentiment_analysis_model_yelp – AI Model by macostaplata | AlphaNeural AI
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macostaplata
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finetuned_sentiment_analysis_model_yelp
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transformers
safetensors
distilbert
text-classification
simplification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuned_sentiment_analysis_model_yelp
This model is a fine-tuned version of
distilbert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8819
Precision: 0.6435
Recall: 0.6438
F1: 0.6435
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: 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_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
0.8693
1.0
3657
0.8631
0.6183
0.6197
0.6183
0.7493
2.0
7314
0.8451
0.6358
0.6361
0.6350
0.5914
3.0
10971
0.8819
0.6435
0.6438
0.6435
Framework versions
Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
