End of training
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- model.safetensors +1 -1
- runs/May17_21-01-30_c37340e38ec4/events.out.tfevents.1747515693.c37340e38ec4.16720.0 +3 -0
- runs/May17_21-02-02_c37340e38ec4/events.out.tfevents.1747515723.c37340e38ec4.16720.1 +3 -0
- runs/May17_21-09-27_c37340e38ec4/events.out.tfevents.1747516169.c37340e38ec4.16720.2 +3 -0
- runs/May17_21-09-38_c37340e38ec4/events.out.tfevents.1747516179.c37340e38ec4.16720.3 +3 -0
- runs/May17_21-09-52_c37340e38ec4/events.out.tfevents.1747516193.c37340e38ec4.16720.4 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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- total_train_batch_size: 12
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 4.5893 | 3.42 | 400 | 0.6459 | 0.7925 |
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| 1.466 | 3.8486 | 450 | 0.5980 | 0.7721 |
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### Framework versions
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4925
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- Accuracy: 0.8698
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## Model description
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- total_train_batch_size: 12
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: constant
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.3307 | 0.2757 | 50 | 0.8133 | 0.5547 |
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| 2.4211 | 0.5515 | 100 | 0.6010 | 0.6615 |
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| 1.9701 | 0.8272 | 150 | 0.5964 | 0.6901 |
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| 0.2215 | 1.0993 | 200 | 0.6405 | 0.7109 |
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| 0.1582 | 1.375 | 250 | 0.4628 | 0.7995 |
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| 0.1519 | 1.6507 | 300 | 0.4207 | 0.7995 |
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| 0.8939 | 1.9265 | 350 | 0.4925 | 0.8698 |
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### Framework versions
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model.safetensors
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