ana-grassmann
commited on
End of training
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README.md
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library_name: peft
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tags:
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- generated_from_trainer
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base_model:
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metrics:
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- accuracy
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- f1
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@@ -19,13 +19,13 @@ should probably proofread and complete it, then remove this comment. -->
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# bert-finetuned-spam
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 64
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- eval_batch_size:
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- seed:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1
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| 0.0 | 2.0 | 2088 | nan | 0.4740 | 0.0 | 0.0 | 0.0 |
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### Framework versions
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: bert-base-uncased
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metrics:
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- accuracy
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- f1
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# bert-finetuned-spam
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1469
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- Accuracy: 0.9455
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- F1: 0.9466
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- Precision: 0.9782
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- Recall: 0.9168
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 6.432402847051035e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 34
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 1.0 | 261 | 0.1469 | 0.9455 | 0.9466 | 0.9782 | 0.9168 |
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### Framework versions
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runs/May08_02-03-26_12393a500f3c/events.out.tfevents.1715137298.12393a500f3c.651.6
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version https://git-lfs.github.com/spec/v1
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oid sha256:f44a66494114cf54a5b25ddfe7cda2f855627e67c8662cb824ac0933f27f705e
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size 560
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