update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- eurlex
+model-index:
+- name: bert-small-eurlex
+  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. -->
+
+# bert-small-eurlex
+
+This model is a fine-tuned version of [google/bert_uncased_L-4_H-512_A-8](https://huggingface.co/google/bert_uncased_L-4_H-512_A-8) on the eurlex dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4260
+
+## 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: 10
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 80
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.9536        | 1.5   | 1000 | 2.0670          |
+| 2.0331        | 3.0   | 2000 | 1.7540          |
+| 1.8046        | 4.5   | 3000 | 1.5993          |
+| 1.678         | 6.0   | 4000 | 1.5039          |
+| 1.6074        | 7.5   | 5000 | 1.4544          |
+| 1.5664        | 8.99  | 6000 | 1.4260          |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1