Model save
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: fold_2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# fold_2
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8850
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- F1: 0.6998
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 20 | 1.0532 | 0.5550 |
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| No log | 2.0 | 40 | 0.8081 | 0.6607 |
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| No log | 3.0 | 60 | 0.7612 | 0.7112 |
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| No log | 4.0 | 80 | 1.1872 | 0.6839 |
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| 0.6435 | 5.0 | 100 | 1.3877 | 0.7259 |
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| 0.6435 | 6.0 | 120 | 2.0059 | 0.6665 |
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| 0.6435 | 7.0 | 140 | 1.8729 | 0.6866 |
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| 0.6435 | 8.0 | 160 | 1.8222 | 0.7148 |
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| 0.6435 | 9.0 | 180 | 1.8790 | 0.7057 |
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| 0.0083 | 10.0 | 200 | 1.8850 | 0.6998 |
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### Framework versions
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- Transformers 4.48.0
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- Pytorch 2.5.1
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 598445936
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version https://git-lfs.github.com/spec/v1
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size 598445936
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