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clinical_longformer_same_tokens

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End of training

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Files changed (4) hide show
  1. README.md +15 -6
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +16 -2
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.8141
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  ## Model description
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@@ -36,10 +36,10 @@ More information needed
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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: 2
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- - eval_batch_size: 16
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  - seed: 42
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- - gradient_accumulation_steps: 64
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- - total_train_batch_size: 128
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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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  - lr_scheduler_warmup_steps: 1500
@@ -49,8 +49,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 1.8515 | 1.42 | 2 | 4.1959 |
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- | 1.9816 | 2.84 | 4 | 3.8141 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 20.5838
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  ## Model description
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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: 2
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+ - eval_batch_size: 4
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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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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  - lr_scheduler_warmup_steps: 1500
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 21.7989 | 0.36 | 4 | 22.5208 |
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+ | 20.1605 | 0.71 | 8 | 22.5098 |
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+ | 21.2348 | 1.07 | 12 | 22.6825 |
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+ | 21.615 | 1.42 | 16 | 22.2299 |
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+ | 20.4123 | 1.78 | 20 | 22.0543 |
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+ | 20.8174 | 2.13 | 24 | 22.1491 |
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+ | 20.7756 | 2.49 | 28 | 21.9382 |
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+ | 19.8654 | 2.84 | 32 | 21.6735 |
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+ | 20.6743 | 3.2 | 36 | 21.3893 |
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+ | 20.3151 | 3.56 | 40 | 21.1435 |
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+ | 19.6614 | 3.91 | 44 | 20.5838 |
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  ### Framework versions
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