End of training

README.md

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+---
+license: mit
+base_model: nlptown/bert-base-multilingual-uncased-sentiment
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: model_IMDB_bert_base
+  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. -->
+
+# model_IMDB_bert_base
+
+This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7390
+- Accuracy: 0.9287
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4201        | 1.0   | 6250  | 0.4285          | 0.8902   |
+| 0.3454        | 2.0   | 12500 | 0.3388          | 0.9183   |
+| 0.2279        | 3.0   | 18750 | 0.3715          | 0.9253   |
+| 0.1558        | 4.0   | 25000 | 0.4496          | 0.9244   |
+| 0.1047        | 5.0   | 31250 | 0.5458          | 0.9235   |
+| 0.0594        | 6.0   | 37500 | 0.6027          | 0.9199   |
+| 0.0234        | 7.0   | 43750 | 0.5551          | 0.9254   |
+| 0.0281        | 8.0   | 50000 | 0.6457          | 0.9245   |
+| 0.0015        | 9.0   | 56250 | 0.7199          | 0.9279   |
+| 0.0           | 10.0  | 62500 | 0.7390          | 0.9287   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.17.0
+- Tokenizers 0.14.0

pytorch_model.bin

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