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stella-base-en-v2-finetuned-colet – AI Model by gamino | AlphaNeural AI
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gamino
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stella-base-en-v2-finetuned-colet
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transformers
safetensors
bert
fill-mask
generated_from_trainer
infgrad/stella-base-en-v2
finetune
mit
autotrain_compatible
endpoints_compatible
us
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stella-base-en-v2-finetuned-colet
This model is a fine-tuned version of
infgrad/stella-base-en-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 7.3027
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
8.5596
1.0
32
7.5865
7.4649
2.0
64
7.3027
7.3587
3.0
96
7.3353
Framework versions
Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1
