Model save

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: tabularisai/multilingual-sentiment-analysis
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: models
+  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. -->
+
+# models
+
+This model is a fine-tuned version of [tabularisai/multilingual-sentiment-analysis](https://huggingface.co/tabularisai/multilingual-sentiment-analysis) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1759
+- Accuracy: 0.5359
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.8667        | 1.0   | 612  | 2.1765          | 0.4118   |
+| 1.9316        | 2.0   | 1224 | 1.9324          | 0.4706   |
+| 1.4498        | 3.0   | 1836 | 1.9724          | 0.4641   |
+| 1.1667        | 4.0   | 2448 | 1.9999          | 0.5229   |
+| 0.5439        | 5.0   | 3060 | 2.3656          | 0.5229   |
+| 0.3893        | 6.0   | 3672 | 2.5779          | 0.5163   |
+| 0.3135        | 7.0   | 4284 | 2.8058          | 0.5490   |
+| 0.2451        | 8.0   | 4896 | 3.0677          | 0.5425   |
+| 0.1866        | 9.0   | 5508 | 3.1764          | 0.5359   |
+| 0.183         | 10.0  | 6120 | 3.1759          | 0.5359   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.19.1

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