bert_prof_single_v3_128_below_100

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_prof_single_v3_128_below_100
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert_prof_single_v3_128_below_100
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6341
+- Accuracy: 0.8500
+- F1: 0.8455
+
+## 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: 1.6289314429698796e-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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.7676        | 1.0   | 7505  | 0.7432          | 0.8097   | 0.7967 |
+| 0.579         | 2.0   | 15010 | 0.6401          | 0.8404   | 0.8343 |
+| 0.4389        | 3.0   | 22515 | 0.6213          | 0.8482   | 0.8430 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

runs/Jun17_08-38-44_3b8ced4afcd0/events.out.tfevents.1718619242.3b8ced4afcd0.2873.1

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