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finetuning-DistilBert_fa

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distilbert
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End of training

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  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Feb01_16-48-55_84e229a54e34/events.out.tfevents.1738428538.84e229a54e34.674.2 +3 -0
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  5. runs/Feb01_16-53-29_84e229a54e34/events.out.tfevents.1738428812.84e229a54e34.674.4 +3 -0
  6. runs/Feb01_16-53-29_84e229a54e34/events.out.tfevents.1738429298.84e229a54e34.674.5 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7534
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- - Accuracy: 0.6267
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- - F1: 0.5835
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- - Precision: 0.6331
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- - Recall: 0.5993
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  ## Model description
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@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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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: 2
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  ### Training results
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  This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2570
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+ - Accuracy: 0.68
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+ - F1: 0.6796
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+ - Precision: 0.6744
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+ - Recall: 0.6923
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  ## Model description
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  - seed: 42
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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: 10
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  ### Training results
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