Aleksandar
commited on
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43d0c8c
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Parent(s):
4bf9632
add model
Browse files- README.md +8 -8
- 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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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 |
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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: 0.9201755866959311
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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: 0.2828
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- Precision: 0.6044
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- Recall: 0.6218
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- F1: 0.6130
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- Accuracy: 0.9202
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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: 32
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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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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| No log | 1.0 | 104 | 0.2828 | 0.6044 | 0.6218 | 0.6130 | 0.9202 |
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### Framework versions
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pytorch_model.bin
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size 430992881
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training_args.bin
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