End of training
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README.md
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model-index:
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- name:
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-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.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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- Auc: 0.
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1
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| No log | 1.0 | 134 | 0.
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| No log | 2.0 | 268 | 0.
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| No log | 3.0 | 402 | 0.
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### Framework versions
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- recall
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- f1
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model-index:
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- name: Artistic_Interests_binary
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results: []
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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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should probably proofread and complete it, then remove this comment. -->
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# Artistic_Interests_binary
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6671
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- Accuracy: 0.6297
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- Precision: 0.6201
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- Recall: 0.6516
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- F1: 0.6354
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- Auc: 0.6299
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auc |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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| No log | 1.0 | 134 | 0.6475 | 0.6306 | 0.6321 | 0.6083 | 0.6200 | 0.6304 |
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| No log | 2.0 | 268 | 0.6681 | 0.6213 | 0.5960 | 0.7307 | 0.6565 | 0.6223 |
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| No log | 3.0 | 402 | 0.6671 | 0.6297 | 0.6201 | 0.6516 | 0.6354 | 0.6299 |
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### Framework versions
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model.safetensors
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