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alignment-score-model

Text Classification
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Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
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  1. README.md +14 -11
  2. final/model.safetensors +1 -1
  3. final/training_args.bin +1 -1
  4. model.safetensors +1 -1
  5. runs/Sep14_18-50-11_fs-cai-002/events.out.tfevents.1757875816.fs-cai-002.3621326.0 +2 -2
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1589
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- - Precision: 0.8368
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- - Recall: 0.7478
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- - F1 Macro: 0.7338
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- - Accuracy: 0.7528
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  ## Model description
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@@ -53,17 +53,20 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 1024
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  - optimizer: Use OptimizerNames.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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- - num_epochs: 4
 
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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- | No log | 0 | 0 | 0.3091 | 0.7553 | 0.5011 | 0.3402 | 0.5110 |
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- | No log | 1.0 | 31 | 0.2290 | 0.7715 | 0.5621 | 0.4624 | 0.5708 |
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- | No log | 2.0 | 62 | 0.1890 | 0.7961 | 0.6418 | 0.5928 | 0.6489 |
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- | No log | 3.0 | 93 | 0.1654 | 0.8293 | 0.7302 | 0.7123 | 0.7356 |
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- | 0.1829 | 4.0 | 124 | 0.1589 | 0.8368 | 0.7478 | 0.7338 | 0.7528 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0610
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+ - Precision: 0.9802
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+ - Recall: 0.9786
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+ - F1 Macro: 0.9790
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+ - Accuracy: 0.9790
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  ## Model description
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  - total_eval_batch_size: 1024
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  - optimizer: Use OptimizerNames.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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+ - lr_scheduler_warmup_steps: 40
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+ - num_epochs: 6
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 Macro | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
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+ | No log | 0 | 0 | 0.3688 | 0.2550 | 0.5 | 0.3377 | 0.5100 |
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+ | No log | 1.0 | 31 | 0.2516 | 0.7558 | 0.5033 | 0.3450 | 0.5132 |
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+ | No log | 2.0 | 62 | 0.1391 | 0.8851 | 0.8467 | 0.8454 | 0.8498 |
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+ | No log | 3.0 | 93 | 0.1016 | 0.9340 | 0.9209 | 0.9217 | 0.9225 |
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+ | 0.1646 | 4.0 | 124 | 0.0770 | 0.9693 | 0.9659 | 0.9665 | 0.9666 |
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+ | 0.1646 | 5.0 | 155 | 0.0648 | 0.9778 | 0.9758 | 0.9763 | 0.9763 |
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+ | 0.1646 | 6.0 | 186 | 0.0610 | 0.9802 | 0.9786 | 0.9790 | 0.9790 |
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  ### Framework versions
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