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esg-classification_bert_all_data_0509_other_v1 – AI Model by dsmsb | AlphaNeural AI
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esg-classification_bert_all_data_0509_other_v1
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transformers
pytorch
bert
text-classification
generated_from_trainer
google-bert/bert-base-multilingual-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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esg-classification_bert_all_data_0509_other_v1
This model is a fine-tuned version of
bert-base-multilingual-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6887
Accuracy: 0.8153
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: 16
eval_batch_size: 16
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
Accuracy
No log
1.0
63
1.7731
0.4217
No log
2.0
126
1.0752
0.7068
No log
3.0
189
0.8234
0.7631
No log
4.0
252
0.7167
0.8112
No log
5.0
315
0.6887
0.8153
Framework versions
Transformers 4.33.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
