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_peft
+  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_peft
+
+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: nan
+- Accuracy: 0.5
+
+## 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: 16
+- eval_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0           | 1.0   | 1563  | nan             | 0.5      |
+| 0.0           | 2.0   | 3126  | nan             | 0.5      |
+| 0.0           | 3.0   | 4689  | nan             | 0.5      |
+| 0.0           | 4.0   | 6252  | nan             | 0.5      |
+| 0.0           | 5.0   | 7815  | nan             | 0.5      |
+| 0.0           | 6.0   | 9378  | nan             | 0.5      |
+| 0.0           | 7.0   | 10941 | nan             | 0.5      |
+| 0.0           | 8.0   | 12504 | nan             | 0.5      |
+| 0.0           | 9.0   | 14067 | nan             | 0.5      |
+| 0.0           | 10.0  | 15630 | nan             | 0.5      |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.17.0
+- Tokenizers 0.14.0