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model_te – AI Model by alexlawtengyi | AlphaNeural AI
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model_te
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transformers
tensorboard
safetensors
llama
text-generation
generated_from_trainer
trl
sft
distilbert/distilbert-base-uncased
quantized
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
8-bit
bitsandbytes
us
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model_te
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: 1.0733
Matthews Correlation: 0.5324
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.1729
1.0
535
0.6953
0.5007
0.1152
2.0
1070
0.9441
0.5200
0.0809
3.0
1605
0.9402
0.5150
0.1009
4.0
2140
1.0245
0.5297
0.0797
5.0
2675
1.0733
0.5324
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 2.21.0
Tokenizers 0.20.0
