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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: sentiment_test23feb |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# sentiment_test23feb |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5188 |
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- Y True: [2 2 1 0 1 2 0 1 0 2 0 1 1 0 1 2 1 2 1 1 2 2 0 0 2 1 1 2 0 0 0 0 1 2 2 0 1 |
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1 1 2 1 1 0 0 2 1 2 0 1 2 2 2 1 2 1 2 0 1 1 2 0 1 1 1 0 0 1 1 1 0 0 0 2 0 |
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1 1 0 1 2 0 0 1 0 2 1 1 0 0 1 0 2 0 1 1 0 2 1 0 2 2 2 0 1 0 1 0 1 0 0 1 1 |
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1 1 2 1 2 0 1 2 0 0 0 2 1 1 0 1 0 1 0 2 0 0 1 1 1 1 0 0 1 0 2 1 1 0 1 1 1 |
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1 2 0 1 1 2 1 2 2 1 2 1 0 2 0 0 0 0 2 0 0 0 2 1 0 2 1 0 2 0 0 2 0 1 0 2 2 |
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1 1 0 1 0 2 1 0 0 0 2 2 1 0 1 0 0 0 2 1 0 1 2 0 2 1 1 2 1 1 2 0 0 1 0 1 2 |
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2 2 1 1 0 2 1 0] |
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- Y Pred: [0 1 1 0 1 2 0 2 0 1 0 1 2 0 1 1 1 1 1 1 2 1 0 0 1 1 1 2 0 0 0 0 1 0 2 0 1 |
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1 1 2 1 1 1 0 2 1 1 0 1 2 2 2 1 0 1 2 0 1 1 2 0 1 2 1 0 0 1 1 1 0 0 0 2 0 |
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1 1 2 1 2 0 0 0 0 2 1 1 0 0 1 0 2 0 1 1 0 2 1 0 1 2 0 0 1 0 1 0 1 0 0 1 2 |
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2 1 2 1 2 0 1 2 0 0 0 0 2 0 0 1 0 1 0 1 0 0 1 1 1 1 0 0 1 0 1 1 1 0 2 1 1 |
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1 2 0 1 1 2 1 2 1 1 2 1 0 2 0 0 0 0 2 0 0 0 1 1 0 2 1 2 0 0 0 2 0 1 2 2 2 |
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1 1 0 1 2 0 1 0 0 0 0 2 1 0 1 0 0 0 0 1 0 1 1 0 2 1 1 2 1 1 1 0 0 1 0 1 0 |
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1 0 1 1 0 2 1 2] |
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- Accuracy: 0.8217 |
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- F1: 0.8146 |
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- Precision: 0.8154 |
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- Recall: 0.8217 |
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- Confusion Matrix: [[76 1 5] |
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[ 2 79 7] |
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[11 15 34]] |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 5 |
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### Training results |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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