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distilbert-qa-mash-covid

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  1. README.md +14 -10
  2. model.safetensors +1 -1
  3. runs/Jun01_09-49-37_abaa0729d817/events.out.tfevents.1717235377.abaa0729d817.25.0 +2 -2
README.md CHANGED
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  license: apache-2.0
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  base_model: distilbert-base-uncased
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  tags:
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- - question-answering
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- - nlp
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  - generated_from_trainer
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  model-index:
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  - name: distilbert-qa-mash-covid
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilbert-qa-mash-covid
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the mashqa_dataset dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.3534
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  ## Model description
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@@ -36,22 +34,28 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.8855 | 1.0 | 657 | 1.4604 |
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- | 1.5008 | 2.0 | 1314 | 1.3525 |
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- | 1.3467 | 3.0 | 1971 | 1.3253 |
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- | 1.0881 | 4.0 | 2628 | 1.3534 |
 
 
 
 
 
 
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: distilbert-base-uncased
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: distilbert-qa-mash-covid
 
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  # distilbert-qa-mash-covid
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 1.3966
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-06
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  - train_batch_size: 16
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  - eval_batch_size: 16
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.7799 | 1.0 | 657 | 1.6296 |
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+ | 1.784 | 2.0 | 1314 | 1.5758 |
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+ | 1.7528 | 3.0 | 1971 | 1.5108 |
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+ | 1.6378 | 4.0 | 2628 | 1.4673 |
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+ | 1.6064 | 5.0 | 3285 | 1.4355 |
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+ | 1.575 | 6.0 | 3942 | 1.4205 |
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+ | 1.5248 | 7.0 | 4599 | 1.4106 |
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+ | 1.4877 | 8.0 | 5256 | 1.4015 |
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+ | 1.4762 | 9.0 | 5913 | 1.4030 |
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+ | 1.4678 | 10.0 | 6570 | 1.3966 |
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  ### Framework versions
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