End of training
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- model.safetensors +1 -1
README.md
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base_model: mnaylor/mega-base-wikitext
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tags:
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- generated_from_trainer
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model-index:
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- name: mega-base-multiple-choice-fp16-v4
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results: []
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# mega-base-multiple-choice-fp16-v4
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This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on
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## Model description
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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base_model: mnaylor/mega-base-wikitext
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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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- precision
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- recall
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- f1
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model-index:
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- name: mega-base-multiple-choice-fp16-v4
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results: []
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# mega-base-multiple-choice-fp16-v4
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This model is a fine-tuned version of [mnaylor/mega-base-wikitext](https://huggingface.co/mnaylor/mega-base-wikitext) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6932
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- Accuracy: 0.4964
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- Precision: 0.4964
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- Recall: 0.5023
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- F1: 0.4993
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## Model description
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 34 | 0.6932 | 0.4970 | 0.4971 | 0.5023 | 0.4997 |
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| No log | 2.0 | 68 | 0.6932 | 0.4975 | 0.4975 | 0.5026 | 0.5001 |
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| No log | 3.0 | 102 | 0.6932 | 0.4974 | 0.4974 | 0.5020 | 0.4997 |
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| No log | 4.0 | 136 | 0.6932 | 0.4995 | 0.4995 | 0.5043 | 0.5019 |
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| No log | 5.0 | 170 | 0.6932 | 0.4975 | 0.4975 | 0.5023 | 0.4999 |
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| No log | 6.0 | 204 | 0.6932 | 0.4987 | 0.4987 | 0.5043 | 0.5015 |
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| No log | 7.0 | 238 | 0.6932 | 0.4960 | 0.4961 | 0.5026 | 0.4993 |
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| No log | 8.0 | 272 | 0.6932 | 0.4967 | 0.4967 | 0.5036 | 0.5002 |
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| No log | 9.0 | 306 | 0.6932 | 0.4965 | 0.4966 | 0.5 | 0.4983 |
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| No log | 10.0 | 340 | 0.6932 | 0.4964 | 0.4964 | 0.5023 | 0.4993 |
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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