update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-uncased-finetuned-osdg
+  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-finetuned-osdg
+
+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: 0.8231
+- Acc: 0.7696
+
+## 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: 6e-06
+- 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: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.072         | 1.0   | 904  | 1.0274          | 0.7242 |
+| 0.8997        | 2.0   | 1808 | 0.9168          | 0.7481 |
+| 0.8137        | 3.0   | 2712 | 0.8687          | 0.7547 |
+| 0.7966        | 4.0   | 3616 | 0.8400          | 0.7618 |
+| 0.7209        | 5.0   | 4520 | 0.8280          | 0.7677 |
+| 0.6666        | 6.0   | 5424 | 0.8300          | 0.7671 |
+| 0.6655        | 7.0   | 6328 | 0.8231          | 0.7696 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.0
+- Tokenizers 0.12.1