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divde/
sentiment_analysis_classifier

Name: sentiment_analysis_classifier
Rating: 2.5 (280 reviews)

generated_from_trainer

divde/sentiment_analysis_classifier

finetune

text-embeddings-inference

endpoints_compatible

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sentiment_analysis_classifier

This model is a fine-tuned version of divde/sentiment_analysis_classifier on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0742
F1: 0.8120
Accuracy: 0.8142
Recall: 0.8142

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: 0.0001
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy	Recall
No log	1.0	191	1.1881	0.7783	0.7779	0.7779
No log	2.0	382	1.1429	0.7956	0.7993	0.7993
0.7122	3.0	573	1.2034	0.7762	0.7700	0.7700
0.7122	4.0	764	1.1634	0.8031	0.8016	0.8016
0.7122	5.0	955	1.1402	0.8103	0.8151	0.8151
0.5932	6.0	1146	1.1437	0.8119	0.8106	0.8106
0.5932	7.0	1337	1.1427	0.8152	0.8162	0.8162
0.4932	8.0	1528	1.2053	0.8161	0.8140	0.8140
0.4932	9.0	1719	1.2045	0.8299	0.8309	0.8309
0.4932	10.0	1910	1.1924	0.8246	0.8253	0.8253

Framework versions

Transformers 5.14.1
Pytorch 2.10.0+cu128
Datasets 5.0.0
Tokenizers 0.22.2