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distilbert-base-uncased-finetuned-commo-market – AI Model by Quidba7 | AlphaNeural AI
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Quidba7
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distilbert-base-uncased-finetuned-commo-market
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transformers
tensorboard
safetensors
distilbert
fill-mask
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-commo-market
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: 3.0038
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: 30
eval_batch_size: 30
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
3.4405
1.0
2
3.4439
3.3377
2.0
4
3.2415
3.0308
3.0
6
2.9715
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cpu
Datasets 2.15.0
Tokenizers 0.15.0
