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README.md
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library_name: transformers
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tags:
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- generated_from_trainer
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datasets:
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- Hartunka/processed_wikitext-103-raw-v1-km-50
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metrics:
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- accuracy
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model-index:
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- name: bert_base_km_50_v2
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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: Hartunka/processed_wikitext-103-raw-v1-km-50
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type: Hartunka/processed_wikitext-103-raw-v1-km-50
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.15367011357857263
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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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# bert_base_km_50_v2
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This model is a fine-tuned version of [](https://huggingface.co/) on
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:-----:|:---------------:|:--------:|
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### Framework versions
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library_name: transformers
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert_base_km_50_v2
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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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# bert_base_km_50_v2
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.0947
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- Accuracy: 0.1527
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-------:|:-----:|:---------------:|:--------:|
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| 6.8758 | 4.1982 | 10000 | 6.9273 | 0.1497 |
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| 6.4229 | 8.3963 | 20000 | 6.8691 | 0.1526 |
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| 6.1843 | 12.5945 | 30000 | 6.9468 | 0.1552 |
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| 6.0459 | 16.7926 | 40000 | 7.1213 | 0.1520 |
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| 5.9642 | 20.9908 | 50000 | 7.0947 | 0.1527 |
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### Framework versions
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model.safetensors
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