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bert-dair-ai-emotion-testing

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katsuchi/bert-dair-ai-emotion-testing

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  1. README.md +23 -4
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3184
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- - F1: 0.5820
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  ## Model description
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@@ -45,13 +45,32 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 500
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- - num_epochs: 1
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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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- | 1.7268 | 1.0 | 48 | 1.3184 | 0.5820 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1413
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+ - F1: 0.8670
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 500
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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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+ | 1.4777 | 1.0 | 48 | 1.1115 | 0.6293 |
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+ | 1.0781 | 2.0 | 96 | 0.7560 | 0.6536 |
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+ | 0.7411 | 3.0 | 144 | 0.6211 | 0.7324 |
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+ | 0.3429 | 4.0 | 192 | 0.4169 | 0.7486 |
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+ | 0.4494 | 5.0 | 240 | 0.2302 | 0.7559 |
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+ | 0.176 | 6.0 | 288 | 0.1959 | 0.8222 |
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+ | 0.1838 | 7.0 | 336 | 0.1578 | 0.8647 |
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+ | 0.1846 | 8.0 | 384 | 0.1451 | 0.8304 |
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+ | 0.1379 | 9.0 | 432 | 0.1554 | 0.8647 |
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+ | 0.0895 | 10.0 | 480 | 0.1418 | 0.8328 |
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+ | 0.0151 | 11.0 | 528 | 0.1468 | 0.8304 |
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+ | 0.0625 | 12.0 | 576 | 0.1630 | 0.8304 |
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+ | 0.0397 | 13.0 | 624 | 0.1372 | 0.8304 |
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+ | 0.0177 | 14.0 | 672 | 0.1359 | 0.8304 |
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+ | 0.0062 | 15.0 | 720 | 0.1386 | 0.8328 |
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+ | 0.0244 | 16.0 | 768 | 0.1298 | 0.8351 |
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+ | 0.01 | 17.0 | 816 | 0.1369 | 0.8351 |
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+ | 0.0094 | 18.0 | 864 | 0.1418 | 0.8670 |
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+ | 0.0329 | 19.0 | 912 | 0.1400 | 0.8670 |
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+ | 0.0791 | 20.0 | 960 | 0.1413 | 0.8670 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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  size 2384720
 
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