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EgorSys
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students_scores_model

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +10 -17
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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: distilbert/distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # students_scores_model
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- This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.2070
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- - F1: 0.5779
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  ## Model description
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@@ -44,27 +44,20 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use 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: 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 | 282 | 1.0211 | 0.5810 |
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- | 0.7048 | 2.0 | 564 | 1.0493 | 0.5766 |
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- | 0.7048 | 3.0 | 846 | 1.0617 | 0.5688 |
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- | 0.6605 | 4.0 | 1128 | 1.0805 | 0.5774 |
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- | 0.6605 | 5.0 | 1410 | 1.1245 | 0.5795 |
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- | 0.5969 | 6.0 | 1692 | 1.1497 | 0.5830 |
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- | 0.5969 | 7.0 | 1974 | 1.1631 | 0.5803 |
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- | 0.5509 | 8.0 | 2256 | 1.1735 | 0.5811 |
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- | 0.5216 | 9.0 | 2538 | 1.2007 | 0.5838 |
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- | 0.5216 | 10.0 | 2820 | 1.2070 | 0.5779 |
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  ### Framework versions
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- - Transformers 4.46.3
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  - Pytorch 2.4.0
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  - Datasets 3.1.0
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- - Tokenizers 0.20.3
 
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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: bert-base-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # students_scores_model
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8998
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+ - F1: 0.6116
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  ## Model description
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  - seed: 42
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  - optimizer: Use 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: linear
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+ - num_epochs: 3
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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 | 282 | 1.0135 | 0.5125 |
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+ | 1.0336 | 2.0 | 564 | 0.9235 | 0.5810 |
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+ | 1.0336 | 3.0 | 846 | 0.8998 | 0.6116 |
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.47.0
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  - Pytorch 2.4.0
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  - Datasets 3.1.0
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+ - Tokenizers 0.21.0