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distilbert-base-uncased-english-cefr-lexical-evaluation-ep-v1 – AI Model by hafidikhsan | AlphaNeural AI
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distilbert-base-uncased-english-cefr-lexical-evaluation-ep-v1
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-english-cefr-lexical-evaluation-ep-v1
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: 1.1535
Accuracy: 0.5854
F1: 0.5871
Precision: 0.5904
Recall: 0.5854
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: 8
eval_batch_size: 8
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
1.2986
1.0
346
1.3812
0.4844
0.4662
0.5086
0.4844
1.0425
2.0
692
1.2779
0.5460
0.5473
0.5506
0.5460
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
