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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: bert_uncased_L-4_H-512_A-8-finetuned-eurlex-longer
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert_uncased_L-4_H-512_A-8-finetuned-eurlex-longer
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8229
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.0308 | 1.0 | 3913 | 0.9303 |
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| 1.0053 | 2.0 | 7826 | 0.9066 |
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| 0.9799 | 3.0 | 11739 | 0.8795 |
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| 0.9575 | 4.0 | 15652 | 0.8677 |
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| 0.9413 | 5.0 | 19565 | 0.8555 |
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| 0.9319 | 6.0 | 23478 | 0.8447 |
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| 0.9235 | 7.0 | 27391 | 0.8388 |
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| 0.9132 | 8.0 | 31304 | 0.8345 |
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| 0.9105 | 9.0 | 35217 | 0.8312 |
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| 0.9154 | 10.0 | 39130 | 0.8229 |
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### Framework versions
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- Transformers 4.21.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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