End of training

README.md

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+---
+license: apache-2.0
+base_model: salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3
+  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. -->
+
+# OTE-DAPT-CAMEL-MSA-HARD-4248-SUBSAMPLE-run3
+
+This model is a fine-tuned version of [salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE](https://huggingface.co/salohnana2018/HARD_without_dp_4248_camel_prepocessed_OTE) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1685
+- Precision: 0.7509
+- Recall: 0.7962
+- F1: 0.7729
+- Accuracy: 0.9548
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 23
+- 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 | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1495        | 1.0   | 121  | 0.1123          | 0.7811    | 0.7573 | 0.7690 | 0.9567   |
+| 0.0847        | 2.0   | 242  | 0.1201          | 0.7505    | 0.7972 | 0.7731 | 0.9540   |
+| 0.0581        | 3.0   | 363  | 0.1314          | 0.7610    | 0.7853 | 0.7729 | 0.9560   |
+| 0.0363        | 4.0   | 484  | 0.1529          | 0.7649    | 0.7798 | 0.7723 | 0.9551   |
+| 0.0242        | 5.0   | 605  | 0.1685          | 0.7509    | 0.7962 | 0.7729 | 0.9548   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Apr03_00-43-59_e230ea08dcf2/events.out.tfevents.1712105067.e230ea08dcf2.1631.2

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