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distilcamembert-base-finetuned-allocine – AI Model by gus1999 | AlphaNeural AI
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gus1999
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distilcamembert-base-finetuned-allocine
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transformers
pytorch
tensorboard
camembert
fill-mask
generated_from_trainer
allocine
mit
autotrain_compatible
endpoints_compatible
us
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distilcamembert-base-finetuned-allocine
This model is a fine-tuned version of
cmarkea/distilcamembert-base
on the allocine dataset. It achieves the following results on the evaluation set:
Loss: 2.1493
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: 64
eval_batch_size: 64
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
2.4479
1.0
157
2.2066
2.3065
2.0
314
2.1144
2.2567
3.0
471
2.1565
Framework versions
Transformers 4.21.2
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
