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my-clf

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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  1. README.md +21 -20
  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: 1.1824
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- - F1: 0.6653
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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: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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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  - 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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- | 0.1488 | 1.0 | 100 | 1.1930 | 0.6355 |
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- | 0.1232 | 2.0 | 200 | 0.9133 | 0.6473 |
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- | 0.0797 | 3.0 | 300 | 1.0238 | 0.6603 |
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- | 0.0522 | 4.0 | 400 | 0.9822 | 0.6713 |
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- | 0.0366 | 5.0 | 500 | 1.0208 | 0.6664 |
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- | 0.0252 | 6.0 | 600 | 0.9856 | 0.6755 |
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- | 0.0199 | 7.0 | 700 | 1.0628 | 0.6665 |
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- | 0.0174 | 8.0 | 800 | 1.0667 | 0.6651 |
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- | 0.0155 | 9.0 | 900 | 1.0934 | 0.6664 |
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- | 0.0141 | 10.0 | 1000 | 1.1478 | 0.6676 |
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- | 0.0131 | 11.0 | 1100 | 1.1644 | 0.6707 |
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- | 0.0124 | 12.0 | 1200 | 1.1661 | 0.6638 |
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- | 0.0122 | 13.0 | 1300 | 1.1781 | 0.6648 |
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- | 0.0118 | 14.0 | 1400 | 1.1810 | 0.6664 |
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- | 0.0116 | 15.0 | 1500 | 1.1824 | 0.6653 |
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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: 1.1047
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+ - F1: 0.6647
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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: 3.191e-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: 66
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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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+ | 1.0134 | 1.0 | 199 | 0.9180 | 0.5223 |
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+ | 0.6246 | 2.0 | 398 | 0.8421 | 0.5867 |
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+ | 0.408 | 3.0 | 597 | 0.8367 | 0.6205 |
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+ | 0.2729 | 4.0 | 796 | 0.8949 | 0.6342 |
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+ | 0.1762 | 5.0 | 995 | 0.9165 | 0.6544 |
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+ | 0.1243 | 6.0 | 1194 | 0.9433 | 0.6188 |
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+ | 0.0867 | 7.0 | 1393 | 0.9373 | 0.6571 |
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+ | 0.0616 | 8.0 | 1592 | 0.9734 | 0.6478 |
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+ | 0.048 | 9.0 | 1791 | 0.9990 | 0.6516 |
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+ | 0.0398 | 10.0 | 1990 | 1.0308 | 0.6529 |
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+ | 0.0348 | 11.0 | 2189 | 1.0594 | 0.6617 |
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+ | 0.0309 | 12.0 | 2388 | 1.0617 | 0.6593 |
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+ | 0.0288 | 13.0 | 2587 | 1.0910 | 0.6635 |
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+ | 0.0273 | 14.0 | 2786 | 1.0934 | 0.6626 |
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+ | 0.0267 | 15.0 | 2985 | 1.1047 | 0.6647 |
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  ### Framework versions
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