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spanbert-base-cased-LAT-True-added-tokenizer – AI Model by troesy | AlphaNeural AI
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troesy
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spanbert-base-cased-LAT-True-added-tokenizer
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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spanbert-base-cased-LAT-True-added-tokenizer
This model is a fine-tuned version of
SpanBERT/spanbert-base-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2767
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: 8
seed: 42
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
No log
1.0
174
0.3422
No log
2.0
348
0.2893
0.3406
3.0
522
0.2767
Framework versions
Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1
