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# distilBert_sentiment_test_23DEC

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: 1.4967
- Y True: [1 2 0 ... 0 2 2]
- Y Pred: [1 2 0 ... 0 2 2]
- Accuracy: 0.7583
- F1: 0.7588
- Precision: 0.7601
- Recall: 0.7583
- Confusion Matrix: [[0 0 0]
 [0 0 0]
 [0 0 0]]

## 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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "lxyuan/distilbert-base-multilingual-cased-sentiments-student", "model-index": [{"name": "distilBert_sentiment_test_23DEC", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:lxyuan/distilbert-base-multilingual-cased-sentiments-student license:apache-2.0 autotrain_compatible endpoints_compatible region:us