update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- f1
+model-index:
+- name: distil_bert_uncased-finetuned-relations
+  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. -->
+
+# distil_bert_uncased-finetuned-relations
+
+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: 0.3626
+- Accuracy: 0.9082
+- Prec: 0.9061
+- Recall: 0.9082
+- F1: 0.9065
+
+## 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 | Prec   | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|
+| 0.2981        | 1.0   | 232  | 0.3442          | 0.9039   | 0.9014 | 0.9039 | 0.9018 |
+| 0.2037        | 2.0   | 464  | 0.3400          | 0.8996   | 0.8980 | 0.8996 | 0.8974 |
+| 0.1499        | 3.0   | 696  | 0.3501          | 0.9017   | 0.8979 | 0.9017 | 0.8980 |
+| 0.1043        | 4.0   | 928  | 0.3545          | 0.9028   | 0.8979 | 0.9028 | 0.8994 |
+| 0.0803        | 5.0   | 1160 | 0.3626          | 0.9082   | 0.9061 | 0.9082 | 0.9065 |
+
+
+### Framework versions
+
+- Transformers 4.19.4
+- Pytorch 1.13.0.dev20220614
+- Datasets 2.2.2
+- Tokenizers 0.11.6