update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: jonas-luehrs/distilbert-base-uncased-MLM-scirepeval_fos_chemistry
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-MLM-scirepeval-fos-chemistry-textCLS-RHEOLOGY-googleColab
+  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-base-uncased-MLM-scirepeval-fos-chemistry-textCLS-RHEOLOGY-googleColab
+
+This model is a fine-tuned version of [jonas-luehrs/distilbert-base-uncased-MLM-scirepeval_fos_chemistry](https://huggingface.co/jonas-luehrs/distilbert-base-uncased-MLM-scirepeval_fos_chemistry) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7407
+- Accuracy: 0.7453
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3156        | 1.0   | 46   | 1.0646          | 0.6273   |
+| 0.9428        | 2.0   | 92   | 0.8645          | 0.6894   |
+| 0.7292        | 3.0   | 138  | 0.7951          | 0.6957   |
+| 0.601         | 4.0   | 184  | 0.7518          | 0.7267   |
+| 0.5369        | 5.0   | 230  | 0.7407          | 0.7453   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3