update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: sentiment_analysis_model
+  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_analysis_model
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7543
+- Accuracy: 0.8483
+
+## 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: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 150  | 0.4045          | 0.8317   |
+| No log        | 2.0   | 300  | 0.4403          | 0.83     |
+| No log        | 3.0   | 450  | 0.5234          | 0.8325   |
+| 0.3116        | 4.0   | 600  | 0.5604          | 0.8367   |
+| 0.3116        | 5.0   | 750  | 0.6089          | 0.8425   |
+| 0.3116        | 6.0   | 900  | 0.6792          | 0.85     |
+| 0.0814        | 7.0   | 1050 | 0.7147          | 0.8508   |
+| 0.0814        | 8.0   | 1200 | 0.7421          | 0.8517   |
+| 0.0814        | 9.0   | 1350 | 0.7794          | 0.845    |
+| 0.0302        | 10.0  | 1500 | 0.7543          | 0.8483   |
+
+
+### Framework versions
+
+- Transformers 4.28.0
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.13.3