AhmedEmadEldeen911 commited on
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End of training

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README.md CHANGED
@@ -10,13 +10,13 @@ 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/levitate/huggingface/runs/qw3pix13)
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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/levitate/huggingface/runs/qw3pix13)
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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/levitate/huggingface/runs/qw3pix13)
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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/levitate/huggingface/runs/qw3pix13)
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  # mytest_trainer_base-cased
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  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -36,13 +36,20 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 8
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- - eval_batch_size: 16
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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: 1
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  ### Framework versions
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  - Transformers 4.42.3
 
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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/levitate/huggingface/runs/1gcpjq77)
 
 
 
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  # mytest_trainer_base-cased
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  This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6983
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+ - Rmse: 0.4976
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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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: 1
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rmse |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.6306 | 1.0 | 5496 | 0.6983 | 0.4976 |
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+
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+
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  ### Framework versions
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  - Transformers 4.42.3
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