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mrm8488
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deberta-v3-ft-financial-news-sentiment-analysis

Text Classification
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deberta-v2
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End of training

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  1. README.md +7 -12
  2. model.safetensors +1 -1
  3. runs/Jan21_15-49-17_73095be6df3d/events.out.tfevents.1705852171.73095be6df3d.12642.0 +3 -0
  4. runs/Jan21_15-53-24_73095be6df3d/events.out.tfevents.1705852411.73095be6df3d.13855.0 +3 -0
  5. runs/Jan21_15-55-05_73095be6df3d/events.out.tfevents.1705852512.73095be6df3d.14469.0 +3 -0
  6. runs/Jan21_15-55-05_73095be6df3d/events.out.tfevents.1705852564.73095be6df3d.14469.1 +3 -0
  7. training_args.bin +1 -1
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 [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1175
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  - Precision: 0.9780
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  - Recall: 0.9780
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  - Accuracy: 0.9780
@@ -49,22 +49,17 @@ The following hyperparameters were used during training:
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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: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
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- | No log | 1.0 | 64 | 0.3711 | 0.8282 | 0.8282 | 0.8282 | 0.8282 |
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- | No log | 2.0 | 128 | 0.1800 | 0.9559 | 0.9559 | 0.9559 | 0.9559 |
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- | No log | 3.0 | 192 | 0.1296 | 0.9604 | 0.9604 | 0.9604 | 0.9604 |
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- | No log | 4.0 | 256 | 0.1228 | 0.9736 | 0.9736 | 0.9736 | 0.9736 |
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- | No log | 5.0 | 320 | 0.1352 | 0.9736 | 0.9736 | 0.9736 | 0.9736 |
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- | No log | 6.0 | 384 | 0.1785 | 0.9648 | 0.9648 | 0.9648 | 0.9648 |
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- | No log | 7.0 | 448 | 0.1175 | 0.9780 | 0.9780 | 0.9780 | 0.9780 |
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- | 0.1612 | 8.0 | 512 | 0.1344 | 0.9692 | 0.9692 | 0.9692 | 0.9692 |
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- | 0.1612 | 9.0 | 576 | 0.1274 | 0.9648 | 0.9648 | 0.9648 | 0.9648 |
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- | 0.1612 | 10.0 | 640 | 0.1242 | 0.9692 | 0.9692 | 0.9692 | 0.9692 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1107
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  - Precision: 0.9780
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  - Recall: 0.9780
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  - Accuracy: 0.9780
 
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
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+ | No log | 1.0 | 64 | 0.4196 | 0.7885 | 0.7885 | 0.7885 | 0.7885 |
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+ | No log | 2.0 | 128 | 0.2166 | 0.9515 | 0.9515 | 0.9515 | 0.9515 |
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+ | No log | 3.0 | 192 | 0.1431 | 0.9604 | 0.9604 | 0.9604 | 0.9604 |
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+ | No log | 4.0 | 256 | 0.1107 | 0.9780 | 0.9780 | 0.9780 | 0.9780 |
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+ | No log | 5.0 | 320 | 0.1292 | 0.9692 | 0.9692 | 0.9692 | 0.9692 |
 
 
 
 
 
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  ### Framework versions
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