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electra_interview_new

Text Classification
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eskayML/electra_interview_new

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Oct12_22-41-05_d927312f0386/events.out.tfevents.1728772865.d927312f0386.419.1 +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: 1.4404
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- - Accuracy: 0.5658
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  ## Model description
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@@ -50,21 +50,21 @@ 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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- | 2.7407 | 1.0 | 759 | 2.4745 | 0.2270 |
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- | 2.4522 | 2.0 | 1518 | 2.4164 | 0.2270 |
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- | 2.4115 | 3.0 | 2277 | 2.3080 | 0.25 |
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- | 2.2666 | 4.0 | 3036 | 2.1030 | 0.3947 |
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- | 2.1421 | 5.0 | 3795 | 1.9180 | 0.4342 |
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- | 1.9628 | 6.0 | 4554 | 1.7503 | 0.4836 |
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- | 1.8452 | 7.0 | 5313 | 1.5931 | 0.5164 |
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- | 1.7014 | 8.0 | 6072 | 1.5194 | 0.5691 |
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- | 1.6226 | 9.0 | 6831 | 1.4557 | 0.5592 |
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- | 1.5557 | 10.0 | 7590 | 1.4404 | 0.5658 |
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.0+cu121
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- - Datasets 3.0.0
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  - Tokenizers 0.19.1
 
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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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  | 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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  - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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  - Tokenizers 0.19.1
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