distilbert-base-uncased-english-cefr-lexical-evaluation-bs-v4 – AI Model by hafidikhsan | AlphaNeural AI

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hafidikhsan/
distilbert-base-uncased-english-cefr-lexical-evaluation-bs-v4

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-english-cefr-lexical-evaluation-bs-v4

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1613
Accuracy: 0.6006
F1: 0.6030
Precision: 0.6104
Recall: 0.6006

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: 4
eval_batch_size: 4
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.4569	1.0	691	1.4527	0.4388	0.4009	0.4841	0.4388
1.098	2.0	1382	1.3605	0.5402	0.5447	0.5679	0.5402
0.74	3.0	2073	1.8285	0.5532	0.5582	0.5807	0.5532
0.3963	4.0	2764	2.2860	0.5655	0.5663	0.5904	0.5655
0.1291	5.0	3455	2.3329	0.5880	0.5903	0.5956	0.5880

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3