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eskayML
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interview_electra

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electra
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eskayML/electra_interview_new

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Oct11_17-16-21_e4706a6fd752/events.out.tfevents.1728666982.e4706a6fd752.2632.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3959
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- - Accuracy: 0.2675
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 380 | 2.6074 | 0.2266 |
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- | 2.7429 | 2.0 | 760 | 2.4872 | 0.2266 |
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- | 2.5203 | 3.0 | 1140 | 2.4483 | 0.2266 |
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- | 2.4479 | 4.0 | 1520 | 2.4349 | 0.2266 |
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- | 2.4479 | 5.0 | 1900 | 2.4114 | 0.2306 |
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- | 2.3919 | 6.0 | 2280 | 2.3933 | 0.2424 |
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- | 2.2714 | 7.0 | 2660 | 2.3914 | 0.2530 |
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- | 2.1536 | 8.0 | 3040 | 2.3968 | 0.2714 |
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- | 2.1536 | 9.0 | 3420 | 2.3913 | 0.2648 |
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- | 2.1058 | 10.0 | 3800 | 2.3959 | 0.2675 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.4751
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+ - Accuracy: 0.2305
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 152 | 2.8162 | 0.2272 |
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+ | No log | 2.0 | 304 | 2.6814 | 0.2263 |
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+ | No log | 3.0 | 456 | 2.5987 | 0.2263 |
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+ | 2.759 | 4.0 | 608 | 2.5461 | 0.2263 |
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+ | 2.759 | 5.0 | 760 | 2.5203 | 0.2272 |
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+ | 2.759 | 6.0 | 912 | 2.4958 | 0.2272 |
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+ | 2.5023 | 7.0 | 1064 | 2.4920 | 0.2305 |
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+ | 2.5023 | 8.0 | 1216 | 2.4850 | 0.2305 |
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+ | 2.5023 | 9.0 | 1368 | 2.4786 | 0.2296 |
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+ | 2.372 | 10.0 | 1520 | 2.4751 | 0.2305 |
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  ### Framework versions
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