eskayML/plaba_adaptations

README.md

@@ -10,12 +10,11 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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"/>]()
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 # plaba_adaptations
 
 This model is a fine-tuned version of [Vamsi/T5_Paraphrase_Paws](https://huggingface.co/Vamsi/T5_Paraphrase_Paws) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.3917
 
 ## Model description
 
@@ -40,16 +39,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- training_steps: 300
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 42   | 3.2087          |
-| No log        | 2.0   | 84   | 2.5296          |
-| No log        | 3.0   | 126  | 2.3917          |
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.5871 | 300  | 0.2616          |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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