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TeeA
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roberta-classifier-pokemon

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files
xet
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TeeA commited on
Commit
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1 Parent(s): 1f283af

End of training

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Files changed (3) hide show
  1. README.md +13 -5
  2. model.safetensors +1 -1
  3. runs/Jan06_12-04-20_cc008ba19cfd/events.out.tfevents.1704542663.cc008ba19cfd.241.26 +2 -2
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 [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.5509
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- - Accuracy: 0.0029
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  ## Model description
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@@ -43,14 +43,22 @@ The following hyperparameters were used during training:
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 305 | 5.5383 | 0.0036 |
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- | 4.1337 | 2.0 | 610 | 5.5509 | 0.0029 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.8684
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+ - Accuracy: 0.0331
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  ## Model description
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 3.1329 | 1.0 | 305 | 5.7572 | 0.0029 |
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+ | 2.21 | 2.0 | 610 | 6.0325 | 0.0043 |
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+ | 1.5811 | 3.0 | 915 | 6.2579 | 0.0072 |
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+ | 1.1735 | 4.0 | 1220 | 6.3370 | 0.0058 |
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+ | 0.9011 | 5.0 | 1525 | 6.5758 | 0.0079 |
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+ | 0.7239 | 6.0 | 1830 | 6.6424 | 0.0137 |
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+ | 0.587 | 7.0 | 2135 | 6.7317 | 0.0180 |
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+ | 0.4967 | 8.0 | 2440 | 6.8135 | 0.0259 |
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+ | 0.4273 | 9.0 | 2745 | 6.8282 | 0.0309 |
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+ | 0.3894 | 10.0 | 3050 | 6.8684 | 0.0331 |
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  ### Framework versions
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