metadata

library_name: transformers
license: apache-2.0
base_model: timmyAlvice/distil-bert-finetuned-sentiment-analysis
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: distil-bert-finetuned-sentiment-analysis
    results: []

distil-bert-finetuned-sentiment-analysis

This model is a fine-tuned version of timmyAlvice/distil-bert-finetuned-sentiment-analysis on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1539
Precision: 0.9573
Recall: 0.9572
F1: 0.9572
Accuracy: 0.9572

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-06
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	254	0.1626	0.9552	0.9551	0.9551	0.9551
0.182	2.0	508	0.1510	0.9581	0.9580	0.9580	0.9580
0.182	3.0	762	0.1524	0.9580	0.9579	0.9578	0.9579
0.1662	4.0	1016	0.1528	0.9582	0.9581	0.9581	0.9581
0.1662	5.0	1270	0.1539	0.9573	0.9572	0.9572	0.9572

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1