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feserrm
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detector-frasesMisoginas

Text Classification
Transformers
Safetensors
electra
classification
Generated from Trainer
Inference Endpoints
Model card Files Community
feserrm commited on
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Training complete

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Files changed (4) hide show
  1. README.md +13 -6
  2. model.safetensors +1 -1
  3. tokenizer.json +1 -1
  4. training_args.bin +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 [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0530
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- - Accuracy: 1.0
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  ## Model description
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@@ -44,15 +44,22 @@ 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: 3
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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 | 16 | 0.3151 | 1.0 |
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- | No log | 2.0 | 32 | 0.0901 | 1.0 |
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- | No log | 3.0 | 48 | 0.0530 | 1.0 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1547
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+ - Accuracy: 0.9762
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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: 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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+ | No log | 1.0 | 16 | 0.3661 | 0.9524 |
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+ | No log | 2.0 | 32 | 0.1170 | 0.9762 |
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+ | No log | 3.0 | 48 | 0.1315 | 0.9762 |
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+ | No log | 4.0 | 64 | 0.1371 | 0.9762 |
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+ | No log | 5.0 | 80 | 0.1438 | 0.9762 |
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+ | No log | 6.0 | 96 | 0.1480 | 0.9762 |
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+ | No log | 7.0 | 112 | 0.1510 | 0.9762 |
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+ | No log | 8.0 | 128 | 0.1530 | 0.9762 |
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+ | No log | 9.0 | 144 | 0.1543 | 0.9762 |
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+ | No log | 10.0 | 160 | 0.1547 | 0.9762 |
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  ### Framework versions
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tokenizer.json CHANGED
@@ -2,7 +2,7 @@
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