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prompt_fine_tuned_boolq

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tjasad/prompt_fine_tuned_boolq

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  1. README.md +9 -5
  2. adapter_model.safetensors +1 -1
  3. runs/May02_08-55-15_4b1c6a2be26d/events.out.tfevents.1714640183.4b1c6a2be26d.1397.0 +3 -0
  4. runs/May02_08-57-51_4b1c6a2be26d/events.out.tfevents.1714640277.4b1c6a2be26d.1397.1 +3 -0
  5. runs/May02_09-06-53_4b1c6a2be26d/events.out.tfevents.1714640822.4b1c6a2be26d.1397.2 +3 -0
  6. 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 [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6702
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- - Accuracy: 0.8333
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  ## Model description
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@@ -44,14 +44,18 @@ 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: 2
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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 | 12 | 0.6804 | 0.8333 |
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- | No log | 2.0 | 24 | 0.6702 | 0.8333 |
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5846
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+ - Accuracy: 0.7778
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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: 6
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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 | 12 | 0.5951 | 0.7778 |
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+ | No log | 2.0 | 24 | 0.5930 | 0.7778 |
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+ | No log | 3.0 | 36 | 0.5884 | 0.7778 |
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+ | No log | 4.0 | 48 | 0.5855 | 0.7778 |
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+ | No log | 5.0 | 60 | 0.5846 | 0.7778 |
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+ | No log | 6.0 | 72 | 0.5846 | 0.7778 |
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  ### Framework versions
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