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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: legal-italian-roberta-base
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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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# legal-italian-roberta-base
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4799
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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: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: tpu
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- num_devices: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 512
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- total_eval_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 1000000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-------:|:---------------:|
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| 1.0248 | 0.05 | 50000 | 0.8033 |
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| 0.912 | 0.1 | 100000 | 0.6825 |
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| 0.8853 | 1.0 | 150000 | 0.6205 |
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| 0.847 | 1.05 | 200000 | 0.5954 |
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| 0.8395 | 1.1 | 250000 | 0.5859 |
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| 0.7485 | 2.01 | 300000 | 0.5632 |
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| 0.7154 | 2.06 | 350000 | 0.5495 |
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| 0.6851 | 2.11 | 400000 | 0.5456 |
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| 0.6074 | 3.01 | 450000 | 0.5331 |
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| 0.6296 | 3.06 | 500000 | 0.5226 |
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| 0.6125 | 3.11 | 550000 | 0.5146 |
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| 0.5983 | 4.02 | 600000 | 0.5038 |
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| 0.6471 | 4.07 | 650000 | 0.4976 |
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| 0.633 | 4.12 | 700000 | 0.4982 |
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| 0.6917 | 5.02 | 750000 | 0.4906 |
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| 0.7178 | 5.07 | 800000 | 0.4833 |
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| 0.6988 | 5.12 | 850000 | 0.4754 |
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| 0.7135 | 6.02 | 900000 | 0.4734 |
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| 0.7269 | 6.07 | 950000 | 0.4826 |
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| 0.7085 | 6.12 | 1000000 | 0.4799 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.12.0+cu102
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- Datasets 2.8.0
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- Tokenizers 0.12.1
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