Training in progress, epoch 1
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- README.md +16 -7
- model.safetensors +1 -1
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README.md
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-finetuned-cola
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 0.8208
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- eval_samples_per_second: 1270.779
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- eval_steps_per_second: 80.414
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- step: 0
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- matthews_correlation
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model-index:
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- name: distilbert-base-uncased-finetuned-cola
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6927
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- Matthews Correlation: 0.5324
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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| 0.5444 | 1.0 | 535 | 0.4784 | 0.4217 |
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| 0.4206 | 2.0 | 1070 | 0.4567 | 0.5146 |
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| 0.3071 | 3.0 | 1605 | 0.5392 | 0.5134 |
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| 0.2517 | 4.0 | 2140 | 0.6712 | 0.5154 |
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| 0.2141 | 5.0 | 2675 | 0.6972 | 0.5279 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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