End of training

README.md

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+---
+license: apache-2.0
+base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: distilBert_sentiment_test_2023DEC
+  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. -->
+
+# distilBert_sentiment_test_2023DEC
+
+This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8211
+- Y True: [1 2 0 ... 0 2 2]
+- Y Pred: [1 2 0 ... 0 2 2]
+- Accuracy: 0.7725
+- F1: 0.7729
+- Precision: 0.7741
+- Recall: 0.7725
+- Confusion Matrix: [[ 792  191   18]
+ [ 234 1053  143]
+ [  38  180  885]]
+
+## 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
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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