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--- |
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base_model: gokuls/HBERTv1_L12_H768_A12_ffn_1 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- gokuls/wiki_book_corpus_complete_processed_bert_dataset |
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metrics: |
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- accuracy |
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model-index: |
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- name: HBERTv1_48_L12_H768_A12_ffn_1_KD |
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results: |
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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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dataset: |
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name: gokuls/wiki_book_corpus_complete_processed_bert_dataset |
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type: gokuls/wiki_book_corpus_complete_processed_bert_dataset |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.4616582527830643 |
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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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# HBERTv1_48_L12_H768_A12_ffn_1_KD |
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This model is a fine-tuned version of [gokuls/HBERTv1_L12_H768_A12_ffn_1](https://huggingface.co/gokuls/HBERTv1_L12_H768_A12_ffn_1) on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 132.3779 |
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- Accuracy: 0.4617 |
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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: 1e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 10 |
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- distributed_type: multi-GPU |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 10000 |
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- num_epochs: 100 |
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### Training results |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 1.14.0a0+410ce96 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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