End of training
Browse files- README.md +10 -8
- config.json +3 -3
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) 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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- Accuracy: 0.9441
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- 1-f1: 0.0
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- 1-recall: 0.0
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Use 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: linear
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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### Framework versions
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This model is a fine-tuned version of [AnonymousCS/populism_xlmr_large](https://huggingface.co/AnonymousCS/populism_xlmr_large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2244
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- Accuracy: 0.9441
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- 1-f1: 0.0
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- 1-recall: 0.0
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-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: Use 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: linear
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:--------:|:-----------:|:------------:|
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| 0.0622 | 1.0 | 108 | 0.2190 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.2087 | 2.0 | 216 | 0.2302 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.1758 | 3.0 | 324 | 0.2159 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.1383 | 4.0 | 432 | 0.2495 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.567 | 5.0 | 540 | 0.2384 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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| 0.0451 | 6.0 | 648 | 0.2244 | 0.9441 | 0.0 | 0.0 | 0.0 | 0.5 |
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### Framework versions
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config.json
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"architectures": [
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"XLMRobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.
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"bos_token_id": 0,
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"classifier_dropout":
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"architectures": [
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"XLMRobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.2,
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"bos_token_id": 0,
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"classifier_dropout": 0.2,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.2,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2239618672
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size 2239618672
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5432
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