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README.md
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tags:
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- generated_from_trainer
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datasets:
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model-index:
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- name: distilbert-base-uncased_mod
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results: []
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# distilbert-base-uncased_mod
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This model is a fine-tuned version of [distilbert-base-
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training results
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| Training Loss | Epoch | Step
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|:-------------:|:-----:|:----
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### Framework versions
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- Transformers 4.
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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tags:
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- generated_from_trainer
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datasets:
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- quoref
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model-index:
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- name: distilbert-base-uncased_mod
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results: []
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# distilbert-base-uncased_mod
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This model is a fine-tuned version of [damapika/distilbert-base-uncased_mod](https://huggingface.co/damapika/distilbert-base-uncased_mod) on the quoref dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0147
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6873 | 1.0 | 1213 | 1.6969 |
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| 1.1652 | 2.0 | 2426 | 1.8045 |
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| 0.7953 | 3.0 | 3639 | 2.0147 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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