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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-rand-50
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metrics:
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- accuracy
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model-index:
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- name: bert_base_rand_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-rand-50
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type: Hartunka/processed_wikitext-103-raw-v1-rand-50
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.15330281968695258
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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_rand_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_rand_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_rand_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: 13.7891
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- Accuracy: 0.1520
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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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| 9.9441 | 4.1982 | 10000 | 10.1116 | 0.1491 |
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| 8.9223 | 8.3963 | 20000 | 10.7880 | 0.1528 |
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| 7.6087 | 12.5945 | 30000 | 11.9659 | 0.1540 |
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| 6.6937 | 16.7926 | 40000 | 13.0278 | 0.1506 |
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| 6.355 | 20.9908 | 50000 | 13.7891 | 0.1520 |
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### Framework versions
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model.safetensors
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