Aleksandar
commited on
Commit
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Parent(s):
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add model
Browse files- README.md +8 -12
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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metric:
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name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Accuracy: 0.
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 207 | 0.
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| No log | 2.0 | 414 | 0.1594 | 0.7272 | 0.7787 | 0.7521 | 0.9510 |
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| 0.233 | 3.0 | 621 | 0.1476 | 0.7576 | 0.8020 | 0.7792 | 0.9560 |
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| 0.233 | 4.0 | 828 | 0.1471 | 0.7782 | 0.8130 | 0.7952 | 0.9582 |
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| 0.0888 | 5.0 | 1035 | 0.1422 | 0.7886 | 0.8150 | 0.8016 | 0.9595 |
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### Framework versions
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metric:
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name: Accuracy
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type: accuracy
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value: 0.9315549552591592
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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: 0.2380
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- Precision: 0.6508
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- Recall: 0.6708
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- F1: 0.6607
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- Accuracy: 0.9316
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 207 | 0.2380 | 0.6508 | 0.6708 | 0.6607 | 0.9316 |
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### Framework versions
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pytorch_model.bin
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training_args.bin
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