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eskayML
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interview_electra

Text Classification
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electra
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eskayML/interview_classifier

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  1. README.md +13 -8
  2. model.safetensors +1 -1
  3. 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: 2.2261
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- - Accuracy: 0.3796
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  ## Model description
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@@ -44,17 +44,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use 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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- - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 54 | 2.2822 | 0.1944 |
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- | No log | 2.0 | 108 | 2.2672 | 0.2315 |
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- | No log | 3.0 | 162 | 2.2473 | 0.3148 |
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- | No log | 4.0 | 216 | 2.2337 | 0.3889 |
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- | No log | 5.0 | 270 | 2.2261 | 0.3796 |
 
 
 
 
 
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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: 2.0631
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+ - Accuracy: 0.5556
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  ## Model description
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  - seed: 42
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  - optimizer: Use 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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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 54 | 2.2794 | 0.1667 |
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+ | No log | 2.0 | 108 | 2.2574 | 0.3241 |
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+ | No log | 3.0 | 162 | 2.2288 | 0.3148 |
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+ | No log | 4.0 | 216 | 2.1978 | 0.3796 |
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+ | No log | 5.0 | 270 | 2.1605 | 0.4537 |
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+ | No log | 6.0 | 324 | 2.1250 | 0.4537 |
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+ | No log | 7.0 | 378 | 2.1010 | 0.4444 |
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+ | No log | 8.0 | 432 | 2.0799 | 0.5093 |
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+ | No log | 9.0 | 486 | 2.0676 | 0.5185 |
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+ | 2.1978 | 10.0 | 540 | 2.0631 | 0.5556 |
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  ### Framework versions
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