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distilbert_memoir_test – AI Model by bblackwell | AlphaNeural AI
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bblackwell
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distilbert_memoir_test
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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distilbert_memoir_test
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3995
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.7135
1.0
403
0.3814
2.4875
2.0
806
0.4001
2.5532
3.0
1209
0.3995
Framework versions
Transformers 5.5.4
Pytorch 2.11.0+cpu
Datasets 4.8.4
Tokenizers 0.22.2
