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my-clf

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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  1. README.md +20 -25
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1404
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- - F1: 0.6842
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  ## Model description
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@@ -37,39 +37,34 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3.887e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 44
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- - num_epochs: 20
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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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- | 0.9899 | 1.0 | 199 | 0.8943 | 0.5434 |
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- | 0.5878 | 2.0 | 398 | 0.8040 | 0.6147 |
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- | 0.3657 | 3.0 | 597 | 0.8181 | 0.6132 |
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- | 0.2319 | 4.0 | 796 | 0.7678 | 0.6420 |
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- | 0.1497 | 5.0 | 995 | 0.8567 | 0.6385 |
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- | 0.103 | 6.0 | 1194 | 0.8607 | 0.6603 |
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- | 0.066 | 7.0 | 1393 | 0.8711 | 0.6414 |
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- | 0.0464 | 8.0 | 1592 | 0.9418 | 0.6908 |
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- | 0.0353 | 9.0 | 1791 | 0.9508 | 0.6815 |
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- | 0.0274 | 10.0 | 1990 | 0.9942 | 0.6771 |
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- | 0.0232 | 11.0 | 2189 | 1.0016 | 0.6846 |
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- | 0.0201 | 12.0 | 2388 | 1.0156 | 0.6914 |
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- | 0.018 | 13.0 | 2587 | 1.0488 | 0.6958 |
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- | 0.0164 | 14.0 | 2786 | 1.0911 | 0.6808 |
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- | 0.0153 | 15.0 | 2985 | 1.0688 | 0.6901 |
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- | 0.0143 | 16.0 | 3184 | 1.1095 | 0.6798 |
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- | 0.0135 | 17.0 | 3383 | 1.1022 | 0.6794 |
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- | 0.0129 | 18.0 | 3582 | 1.1310 | 0.6812 |
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- | 0.0124 | 19.0 | 3781 | 1.1359 | 0.6842 |
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- | 0.0123 | 20.0 | 3980 | 1.1404 | 0.6842 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1814
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+ - F1: 0.6733
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 6.445e-05
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 35
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+ - num_epochs: 15
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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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+ | 0.1774 | 1.0 | 199 | 0.8753 | 0.6349 |
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+ | 0.1386 | 2.0 | 398 | 0.9342 | 0.6269 |
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+ | 0.0978 | 3.0 | 597 | 0.8963 | 0.6481 |
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+ | 0.0557 | 4.0 | 796 | 1.0566 | 0.6269 |
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+ | 0.0378 | 5.0 | 995 | 0.8824 | 0.6875 |
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+ | 0.0207 | 6.0 | 1194 | 0.9721 | 0.6822 |
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+ | 0.0134 | 7.0 | 1393 | 1.0296 | 0.6728 |
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+ | 0.0103 | 8.0 | 1592 | 1.0678 | 0.6679 |
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+ | 0.0089 | 9.0 | 1791 | 1.1085 | 0.6722 |
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+ | 0.0079 | 10.0 | 1990 | 1.1080 | 0.6608 |
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+ | 0.0072 | 11.0 | 2189 | 1.1454 | 0.6718 |
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+ | 0.0066 | 12.0 | 2388 | 1.1474 | 0.6700 |
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+ | 0.0063 | 13.0 | 2587 | 1.1681 | 0.6694 |
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+ | 0.0061 | 14.0 | 2786 | 1.1827 | 0.6755 |
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+ | 0.006 | 15.0 | 2985 | 1.1814 | 0.6733 |
 
 
 
 
 
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  ### Framework versions
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