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Petr Jaroch commited on
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DotCheck/finetuned-ai-detection

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  1. README.md +8 -12
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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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: DotCheck/finetuned_video_model
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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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  # finetuned_model
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- This model is a fine-tuned version of [DotCheck/finetuned_video_model](https://huggingface.co/DotCheck/finetuned_video_model) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0063
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- - Accuracy: 0.999
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  ## Model description
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@@ -44,19 +44,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.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: 7
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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 | 36 | 0.0127 | 0.998 |
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- | No log | 2.0 | 72 | 0.0061 | 0.999 |
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- | No log | 3.0 | 108 | 0.0063 | 0.999 |
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- | No log | 4.0 | 144 | 0.0062 | 0.999 |
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- | No log | 5.0 | 180 | 0.0062 | 0.999 |
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- | No log | 6.0 | 216 | 0.0063 | 0.999 |
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- | No log | 7.0 | 252 | 0.0063 | 0.999 |
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  ### Framework versions
 
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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: DotCheck/finetuned_model
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # finetuned_model
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+ This model is a fine-tuned version of [DotCheck/finetuned_model](https://huggingface.co/DotCheck/finetuned_model) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0103
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+ - Accuracy: 0.9969
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.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 | 282 | 0.0147 | 0.9946 |
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+ | 0.0887 | 2.0 | 564 | 0.0100 | 0.9967 |
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+ | 0.0887 | 3.0 | 846 | 0.0103 | 0.9969 |
 
 
 
 
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  ### Framework versions
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