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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: roberta-base-cased
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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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# roberta-base-cased
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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: 0.7516
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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: 32
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- eval_batch_size: 32
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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: 2
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- total_train_batch_size: 512
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- total_eval_batch_size: 256
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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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| 1.0389 | 0.05 | 50000 | 0.9802 |
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| 0.9685 | 0.1 | 100000 | 0.9021 |
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| 0.9337 | 0.15 | 150000 | 0.8752 |
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| 0.9106 | 0.2 | 200000 | 0.8558 |
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| 0.8981 | 0.25 | 250000 | 0.8512 |
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| 0.8813 | 1.03 | 300000 | 0.8203 |
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| 0.8899 | 1.08 | 350000 | 0.8286 |
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| 0.8581 | 1.13 | 400000 | 0.8148 |
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| 0.856 | 1.18 | 450000 | 0.8141 |
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| 0.8527 | 1.23 | 500000 | 0.8034 |
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| 0.8345 | 2.02 | 550000 | 0.7763 |
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| 0.8342 | 2.07 | 600000 | 0.7862 |
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| 0.8147 | 2.12 | 650000 | 0.7842 |
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| 0.8369 | 2.17 | 700000 | 0.7766 |
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| 0.814 | 2.22 | 750000 | 0.7737 |
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| 0.8046 | 2.27 | 800000 | 0.7692 |
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| 0.7941 | 3.05 | 850000 | 0.7538 |
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| 0.7956 | 3.1 | 900000 | 0.7562 |
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| 0.8068 | 3.15 | 950000 | 0.7512 |
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| 0.8066 | 3.2 | 1000000 | 0.7516 |
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### Framework versions
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- Transformers 4.20.0
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- Pytorch 1.12.0+cu102
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- Datasets 2.6.1
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- Tokenizers 0.12.0
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