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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: mini-mlm-tweet |
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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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# mini-mlm-tweet |
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This model is a fine-tuned version of [google/bert_uncased_L-4_H-256_A-4](https://huggingface.co/google/bert_uncased_L-4_H-256_A-4) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1171 |
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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: 3e-05 |
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.9227 | 11.11 | 500 | 3.8377 | |
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| 3.4825 | 22.22 | 1000 | 3.7411 | |
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| 3.2903 | 33.33 | 1500 | 3.8864 | |
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| 3.1026 | 44.44 | 2000 | 3.6987 | |
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| 2.9438 | 55.56 | 2500 | 3.9807 | |
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| 2.8075 | 66.67 | 3000 | 3.8835 | |
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| 2.6951 | 77.78 | 3500 | 4.1171 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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