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finetuning-sentiment-model – AI Model by my777 | AlphaNeural AI
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finetuning-sentiment-model
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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finetuning-sentiment-model
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4371
Accuracy: 0.9044
Precision: 0.8840
Recall: 0.9307
F1: 0.9068
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: 5e-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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.3023
1.0
433
0.2597
0.8945
0.9074
0.8829
0.8950
0.13
2.0
866
0.4193
0.8888
0.8592
0.9347
0.8954
0.0766
3.0
1299
0.5052
0.8911
0.8737
0.9189
0.8957
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
