End of training

README.md

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+---
+license: apache-2.0
+base_model: salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: ABSA-SentencePair-DAPT-HARDSubsample60089-bert-base-Camel-MSA-ru2
+  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. -->
+
+# ABSA-SentencePair-DAPT-HARDSubsample60089-bert-base-Camel-MSA-ru2
+
+This model is a fine-tuned version of [salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample](https://huggingface.co/salohnana2018/CAMEL-domianAdaption-Single-ABSA-HardSample) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4543
+- Accuracy: 0.8852
+- F1: 0.8852
+- Precision: 0.8852
+- Recall: 0.8852
+
+## 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: 32
+- 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     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.4264        | 1.0   | 265  | 0.3527          | 0.8611   | 0.8611 | 0.8611    | 0.8611 |
+| 0.304         | 2.0   | 530  | 0.3400          | 0.8828   | 0.8828 | 0.8828    | 0.8828 |
+| 0.2282        | 3.0   | 795  | 0.3840          | 0.8790   | 0.8790 | 0.8790    | 0.8790 |
+| 0.1614        | 4.0   | 1060 | 0.4024          | 0.8856   | 0.8856 | 0.8856    | 0.8856 |
+| 0.1075        | 5.0   | 1325 | 0.4543          | 0.8852   | 0.8852 | 0.8852    | 0.8852 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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