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my_awesome_eli5_mlm_model

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  1. README.md +18 -5
  2. model.safetensors +1 -1
  3. runs/Jul23_08-33-45_c9a0361e418e/events.out.tfevents.1721723626.c9a0361e418e.34.2 +2 -2
  4. runs/Jul23_08-33-45_c9a0361e418e/events.out.tfevents.1721723717.c9a0361e418e.34.3 +3 -0
README.md CHANGED
@@ -13,12 +13,13 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/boghdady95/huggingface/runs/q49i6qgl)
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  # my_awesome_eli5_mlm_model
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  This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the eli5_category dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0152
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  ## Model description
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@@ -43,15 +44,27 @@ 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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 43 | 0.0509 |
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- | No log | 2.0 | 86 | 0.0187 |
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- | No log | 3.0 | 129 | 0.0171 |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/boghdady95/huggingface/runs/q49i6qgl)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/boghdady95/huggingface/runs/q49i6qgl)
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  # my_awesome_eli5_mlm_model
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  This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the eli5_category dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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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: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 43 | 0.0408 |
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+ | No log | 2.0 | 86 | 0.0216 |
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+ | No log | 3.0 | 129 | 0.0176 |
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+ | No log | 4.0 | 172 | 0.0263 |
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+ | No log | 5.0 | 215 | 0.0103 |
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+ | No log | 6.0 | 258 | 0.0195 |
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+ | No log | 7.0 | 301 | 0.0138 |
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+ | No log | 8.0 | 344 | 0.0082 |
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+ | No log | 9.0 | 387 | 0.0127 |
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+ | No log | 10.0 | 430 | 0.0067 |
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+ | No log | 11.0 | 473 | 0.0035 |
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+ | 0.02 | 12.0 | 516 | 0.0000 |
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+ | 0.02 | 13.0 | 559 | 0.0000 |
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+ | 0.02 | 14.0 | 602 | 0.0001 |
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+ | 0.02 | 15.0 | 645 | 0.0000 |
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  ### Framework versions
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