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test-trainer – AI Model by izaitova | AlphaNeural AI
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izaitova
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test-trainer
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transformers
tensorboard
safetensors
mt5
token-classification
generated_from_trainer
google/mt5-small
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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test-trainer
This model is a fine-tuned version of
google/mt5-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.1429
Precision: 0.3456
Recall: 0.4871
F1: 0.4043
Accuracy: 0.7180
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
250
1.4932
0.2804
0.4377
0.3418
0.6631
4.0912
2.0
500
1.1429
0.3456
0.4871
0.4043
0.7180
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
