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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: base-mlm-imdb
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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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# base-mlm-imdb
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This model is a fine-tuned version of [google/bert_uncased_L-12_H-768_A-12](https://huggingface.co/google/bert_uncased_L-12_H-768_A-12) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9103
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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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| 2.1149 | 0.16 | 500 | 1.9627 |
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| 2.0674 | 0.32 | 1000 | 1.9620 |
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| 2.0582 | 0.48 | 1500 | 1.9502 |
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| 2.0542 | 0.64 | 2000 | 1.9418 |
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| 2.0398 | 0.8 | 2500 | 1.9223 |
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| 2.037 | 0.96 | 3000 | 1.9220 |
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| 1.9831 | 1.12 | 3500 | 1.9247 |
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| 1.972 | 1.28 | 4000 | 1.9123 |
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| 1.9708 | 1.44 | 4500 | 1.9122 |
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| 1.967 | 1.6 | 5000 | 1.9097 |
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| 1.9582 | 1.76 | 5500 | 1.9085 |
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| 1.9715 | 1.92 | 6000 | 1.9099 |
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| 1.9459 | 2.08 | 6500 | 1.9113 |
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| 1.9384 | 2.24 | 7000 | 1.9103 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.12.1
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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