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ronenh24
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longformer-base-4096-bible

Text Classification
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Safetensors
English
longformer
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End of training for query Who has received prophecies from God?

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  1. README.md +15 -15
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0005
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  - Macro Average Precision: 1.0
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- - Weighted Average Precision: 1.0
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  ## Model description
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@@ -41,25 +41,25 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.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: cosine_with_restarts
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- - lr_scheduler_warmup_steps: 40
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  - num_epochs: 12
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Macro Average Precision | Weighted Average Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------------:|:--------------------------:|
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- | 0.0947 | 1.0 | 20 | 0.0724 | 0.3505 | 0.4599 |
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- | 0.0576 | 2.0 | 40 | 0.0321 | 0.7095 | 0.7916 |
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- | 0.0357 | 3.0 | 60 | 0.0167 | 0.8847 | 0.9339 |
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- | 0.0239 | 4.0 | 80 | 0.0093 | 0.9798 | 0.9869 |
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- | 0.0123 | 5.0 | 100 | 0.0065 | 0.9856 | 0.9926 |
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- | 0.0095 | 6.0 | 120 | 0.0035 | 1.0 | 1.0 |
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- | 0.0073 | 7.0 | 140 | 0.0033 | 1.0 | 1.0 |
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- | 0.0054 | 8.0 | 160 | 0.0013 | 1.0 | 1.0 |
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- | 0.0057 | 9.0 | 180 | 0.0055 | 0.9703 | 0.9859 |
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- | 0.0066 | 10.0 | 200 | 0.0019 | 1.0 | 1.0 |
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- | 0.0019 | 11.0 | 220 | 0.0008 | 1.0 | 1.0 |
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- | 0.0019 | 12.0 | 240 | 0.0005 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model was trained from scratch on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0001
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  - Macro Average Precision: 1.0
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+ - Weighted Average Precision: 1.0000
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.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: cosine_with_restarts
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+ - lr_scheduler_warmup_steps: 60
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  - num_epochs: 12
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Macro Average Precision | Weighted Average Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:-----------------------:|:--------------------------:|
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+ | 0.0536 | 1.0 | 58 | 0.0210 | 0.6129 | 0.8579 |
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+ | 0.0339 | 2.0 | 116 | 0.0113 | 0.8049 | 0.9465 |
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+ | 0.0147 | 3.0 | 174 | 0.0047 | 0.9481 | 0.9867 |
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+ | 0.0065 | 4.0 | 232 | 0.0014 | 1.0 | 1.0000 |
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+ | 0.0024 | 5.0 | 290 | 0.0008 | 1.0 | 1.0000 |
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+ | 0.0014 | 6.0 | 348 | 0.0006 | 1.0 | 1.0000 |
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+ | 0.0013 | 7.0 | 406 | 0.0006 | 1.0 | 1.0000 |
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+ | 0.002 | 8.0 | 464 | 0.0004 | 1.0 | 1.0000 |
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+ | 0.0007 | 9.0 | 522 | 0.0003 | 1.0 | 1.0000 |
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+ | 0.0003 | 10.0 | 580 | 0.0001 | 1.0 | 1.0000 |
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+ | 0.0002 | 11.0 | 638 | 0.0001 | 1.0 | 1.0000 |
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+ | 0.0002 | 12.0 | 696 | 0.0001 | 1.0 | 1.0000 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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