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trainer_output – AI Model by mugambi645 | AlphaNeural AI
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trainer_output
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
lxyuan/distilbert-base-multilingual-cased-sentiments-student
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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trainer_output
This model is a fine-tuned version of
lxyuan/distilbert-base-multilingual-cased-sentiments-student
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1366
Accuracy: 0.679
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
125
0.9216
0.583
No log
2.0
250
0.8621
0.653
No log
3.0
375
1.1366
0.679
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Tokenizers 0.20.3
