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outputs_sup_simcse

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  1. README.md +1 -7
  2. model.safetensors +1 -1
  3. runs/Jan10_21-12-16_cx051/events.out.tfevents.1736511137.cx051 +2 -2
  4. runs/Jan10_21-48-27_cx051/events.out.tfevents.1736513308.cx051 +3 -0
  5. runs/Jan10_21-52-36_cx051/events.out.tfevents.1736513557.cx051 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -14,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # outputs_sup_simcse
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  This model is a fine-tuned version of [tohoku-nlp/bert-base-japanese-v3](https://huggingface.co/tohoku-nlp/bert-base-japanese-v3) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 4.0679
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- - Spearman: nan
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  ## Model description
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@@ -41,14 +38,11 @@ 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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  - mixed_precision_training: Native AMP
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Spearman |
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- |:-------------:|:------:|:----:|:---------------:|:--------:|
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- | 3.5159 | 2.2523 | 250 | 4.0679 | nan |
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  ### Framework versions
 
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  # outputs_sup_simcse
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  This model is a fine-tuned version of [tohoku-nlp/bert-base-japanese-v3](https://huggingface.co/tohoku-nlp/bert-base-japanese-v3) on an unknown dataset.
 
 
 
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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: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
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