update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- lex_glue
+model-index:
+- name: ECHR_test_2
+  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. -->
+
+# ECHR_test_2
+
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the lex_glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2775
+- Macro-f1: 0.4740
+- Micro-f1: 0.6247
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
+| 0.2152        | 0.44  | 500  | 0.3215          | 0.3625   | 0.5541   |
+| 0.1826        | 0.89  | 1000 | 0.3090          | 0.4086   | 0.5696   |
+| 0.18          | 1.33  | 1500 | 0.2883          | 0.4507   | 0.5963   |
+| 0.1669        | 1.78  | 2000 | 0.2775          | 0.4740   | 0.6247   |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1