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bobbyw
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deberta-v3-large_v3_mentioned_common_entities

Text Classification
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deberta-v2
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End of training

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  1. README.md +7 -9
  2. model.safetensors +1 -1
  3. runs/Jun06_03-13-25_156aa3b33a6c/events.out.tfevents.1717643611.156aa3b33a6c.1110.0 +2 -2
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bobbyw/deberta-v3-large_v3_mentioned_common_entities](https://huggingface.co/bobbyw/deberta-v3-large_v3_mentioned_common_entities) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1306
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  - Accuracy: 0.0218
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  - F1: 0.0427
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  - Precision: 0.0218
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-07
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  - train_batch_size: 3
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  - eval_batch_size: 3
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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: 4
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
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- | 0.2069 | 1.0 | 689 | 0.1504 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.0001 |
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- | 0.1872 | 2.0 | 1378 | 0.1379 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.0001 |
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- | 0.1768 | 3.0 | 2067 | 0.1325 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.0000 |
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- | 0.1699 | 4.0 | 2756 | 0.1306 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bobbyw/deberta-v3-large_v3_mentioned_common_entities](https://huggingface.co/bobbyw/deberta-v3-large_v3_mentioned_common_entities) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1014
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  - Accuracy: 0.0218
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  - F1: 0.0427
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  - Precision: 0.0218
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-06
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  - train_batch_size: 3
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  - eval_batch_size: 3
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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: 2
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Rate |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-----:|
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+ | 0.1523 | 1.0 | 689 | 0.1039 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.001 |
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+ | 0.1404 | 2.0 | 1378 | 0.1014 | 0.0218 | 0.0427 | 0.0218 | 1.0 | 0.0 |
 
 
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  ### Framework versions
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