bert_uncased_L-4_H-512_A-8-finetuned-eurlex
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9798
- eval_runtime: 51.2571
- eval_samples_per_second: 638.916
- eval_steps_per_second: 79.872
- epoch: 2.0
- step: 62604
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: 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: 3.0
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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Base model
google/bert_uncased_L-4_H-512_A-8
Finetuned
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