dadashzadeh commited on
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End of training

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README.md CHANGED
@@ -11,9 +11,6 @@ metrics:
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  model-index:
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  - name: my_model
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  results: []
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- language:
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- - fa
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- pipeline_tag: token-classification
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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
@@ -23,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.3774
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- - Precision: 0.2
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- - Recall: 0.0909
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- - F1: 0.1250
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- - Accuracy: 0.5319
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  ## Model description
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@@ -47,8 +44,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 8
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- - eval_batch_size: 8
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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
@@ -58,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 2 | 2.8942 | 0.0 | 0.0 | 0.0 | 0.3830 |
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- | No log | 2.0 | 4 | 2.5283 | 0.0 | 0.0 | 0.0 | 0.4894 |
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- | No log | 3.0 | 6 | 2.3774 | 0.2 | 0.0909 | 0.1250 | 0.5319 |
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  ### Framework versions
@@ -68,4 +65,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.42.4
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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- - Tokenizers 0.19.1
 
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  model-index:
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  - name: my_model
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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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  This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co/PartAI/TookaBERT-Base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.5927
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+ - Precision: 0.6667
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+ - Recall: 0.5455
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+ - F1: 0.6
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+ - Accuracy: 0.7660
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 10 | 2.1391 | 0.25 | 0.1818 | 0.2105 | 0.5532 |
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+ | No log | 2.0 | 20 | 1.7910 | 0.5556 | 0.4545 | 0.5 | 0.7447 |
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+ | No log | 3.0 | 30 | 1.5927 | 0.6667 | 0.5455 | 0.6 | 0.7660 |
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  ### Framework versions
 
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  - Transformers 4.42.4
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  - Pytorch 2.3.1+cu121
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  - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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