bert_prof_single_128_below_100

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert_prof_single_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_128_below_100
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6716
+- Accuracy: 0.8674
+- F1: 0.8658
+
+## 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: 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.7447        | 1.0   | 6885  | 0.6995          | 0.8267   | 0.8151 |
+| 0.5834        | 2.0   | 13770 | 0.6181          | 0.8436   | 0.8391 |
+| 0.4465        | 3.0   | 20655 | 0.5877          | 0.8585   | 0.8551 |
+| 0.3559        | 4.0   | 27540 | 0.6168          | 0.8638   | 0.8616 |
+| 0.2515        | 5.0   | 34425 | 0.6300          | 0.8710   | 0.8692 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

runs/May29_09-01-39_0c20c3c12f41/events.out.tfevents.1716981863.0c20c3c12f41.1539.2

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