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trained_english – AI Model by annamariagnat | AlphaNeural AI
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annamariagnat
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trained_english
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transformers
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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trained_english
This model is a fine-tuned version of
distilbert/distilbert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1059
Precision: 0.7345
Recall: 0.7335
F1: 0.7340
Accuracy: 0.9772
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-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
Precision
Recall
F1
Accuracy
No log
1.0
392
0.0980
0.7188
0.7445
0.7314
0.9760
0.0234
2.0
784
0.1022
0.7318
0.7328
0.7323
0.9772
0.0118
3.0
1176
0.1059
0.7345
0.7335
0.7340
0.9772
Framework versions
Transformers 4.38.2
Pytorch 2.1.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2
