tejaskamtam
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Model save
Browse files- README.md +4 -4
- config.json +6 -0
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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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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| 1.
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### Framework versions
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7192
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- Accuracy: 0.6736
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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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| 2.068 | 0.0 | 5 | 1.7758 | 0.6650 |
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| 1.9159 | 0.0 | 10 | 1.7192 | 0.6736 |
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### Framework versions
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForMaskedLM"
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],
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{
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"_name_or_path": "bert-base-uncased",
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"adapters": {
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"adapters": {},
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"config_map": {},
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"fusion_config_map": {},
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"fusions": {}
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},
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"architectures": [
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"BertForMaskedLM"
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],
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 438080896
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version https://git-lfs.github.com/spec/v1
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oid sha256:7702735369fd181b794db2f3ac6829731fdd8c096b1a41e51ecc6c7b14d13773
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size 438080896
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