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update model card README.md

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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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+ model-index:
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+ - name: sentiment_analysis_model
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+ results: []
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+ ---
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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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+
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+ # sentiment_analysis_model
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7543
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+ - Accuracy: 0.8483
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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+ - eval_batch_size: 32
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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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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 150 | 0.4045 | 0.8317 |
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+ | No log | 2.0 | 300 | 0.4403 | 0.83 |
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+ | No log | 3.0 | 450 | 0.5234 | 0.8325 |
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+ | 0.3116 | 4.0 | 600 | 0.5604 | 0.8367 |
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+ | 0.3116 | 5.0 | 750 | 0.6089 | 0.8425 |
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+ | 0.3116 | 6.0 | 900 | 0.6792 | 0.85 |
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+ | 0.0814 | 7.0 | 1050 | 0.7147 | 0.8508 |
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+ | 0.0814 | 8.0 | 1200 | 0.7421 | 0.8517 |
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+ | 0.0814 | 9.0 | 1350 | 0.7794 | 0.845 |
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+ | 0.0302 | 10.0 | 1500 | 0.7543 | 0.8483 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.13.3