update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: Distilbert-sentiment-analysis
+  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. -->
+
+# Distilbert-sentiment-analysis
+
+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: 1.2745
+
+## 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: 5e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1633        | 1.0   | 1178 | 1.1116          |
+| 1.0524        | 2.0   | 2356 | 1.0836          |
+| 0.9103        | 3.0   | 3534 | 1.1135          |
+| 0.7676        | 4.0   | 4712 | 1.1945          |
+| 0.659         | 5.0   | 5890 | 1.2745          |
+
+
+### Framework versions
+
+- Transformers 4.30.1
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3