update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: sentiment_test23feb
+  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. -->
+
+# sentiment_test23feb
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5188
+- 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
+ 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
+ 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
+ 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
+ 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
+ 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
+ 2 2 1 1 0 2 1 0]
+- 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
+ 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
+ 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
+ 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
+ 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
+ 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
+ 1 0 1 1 0 2 1 2]
+- Accuracy: 0.8217
+- F1: 0.8146
+- Precision: 0.8154
+- Recall: 0.8217
+- Confusion Matrix: [[76  1  5]
+ [ 2 79  7]
+ [11 15 34]]
+
+## 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
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.9.0
+- Tokenizers 0.13.2