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lavan

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End of training

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Files changed (3) hide show
  1. README.md +11 -13
  2. model.safetensors +1 -1
  3. runs/Apr15_16-31-37_464efbc1ad90/events.out.tfevents.1713198698.464efbc1ad90.176.0 +2 -2
README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: distilbert/distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # lavan
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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: 2.2047
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  ## Model description
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@@ -34,23 +34,21 @@ 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: 1e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.436 | 1.0 | 500 | 1.7459 |
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- | 0.3304 | 2.0 | 1000 | 1.8949 |
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- | 0.2503 | 3.0 | 1500 | 2.0612 |
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- | 0.207 | 4.0 | 2000 | 2.0813 |
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- | 0.1705 | 5.0 | 2500 | 2.2047 |
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  ### Framework versions
 
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  ---
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+ license: cc-by-4.0
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+ base_model: deepset/roberta-base-squad2
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # lavan
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+ This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6156
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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-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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 250 | 0.5320 |
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+ | 0.4794 | 2.0 | 500 | 0.5635 |
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+ | 0.4794 | 3.0 | 750 | 0.6156 |
 
 
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  ### Framework versions
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