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RyyDer
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deberta-tweetqa-5ep

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  1. README.md +5 -7
  2. model.safetensors +1 -1
  3. runs/Jun02_10-09-13_75737878059b/events.out.tfevents.1748858957.75737878059b.634.0 +3 -0
  4. runs/Jun02_10-11-31_75737878059b/events.out.tfevents.1748859093.75737878059b.634.1 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepset/deberta-v3-large-squad2](https://huggingface.co/deepset/deberta-v3-large-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0454
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  ## Model description
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@@ -44,18 +44,16 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 10
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- - num_epochs: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.5817 | 1.0 | 1 | 2.5048 |
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- | 1.5733 | 2.0 | 2 | 2.5048 |
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- | 1.3207 | 3.0 | 3 | 2.1915 |
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- | 1.3188 | 4.0 | 4 | 1.5524 |
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- | 0.8137 | 5.0 | 5 | 1.0454 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepset/deberta-v3-large-squad2](https://huggingface.co/deepset/deberta-v3-large-squad2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.1946
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.2435 | 1.0 | 1 | 2.5058 |
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+ | 1.4247 | 2.0 | 2 | 2.5058 |
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+ | 1.3968 | 3.0 | 3 | 2.1946 |
 
 
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  ### Framework versions
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