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End of training

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README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: dadashzadeh/tiny-bert-Sentiment-persian
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: tiny-bert-Sentiment-persian
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  results: []
@@ -15,12 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dadashzadeh/tiny-bert-Sentiment-persian](https://huggingface.co/dadashzadeh/tiny-bert-Sentiment-persian) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 0.6440
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- - eval_accuracy: 0.7546
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- - eval_runtime: 1.4751
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- - eval_samples_per_second: 1569.396
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- - eval_steps_per_second: 71.86
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- - step: 0
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  ## Model description
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@@ -40,12 +38,26 @@ 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: 22
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- - eval_batch_size: 22
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- - seed: 50
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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: 11
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  base_model: dadashzadeh/tiny-bert-Sentiment-persian
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: tiny-bert-Sentiment-persian
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  results: []
 
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  This model is a fine-tuned version of [dadashzadeh/tiny-bert-Sentiment-persian](https://huggingface.co/dadashzadeh/tiny-bert-Sentiment-persian) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1799
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+ - Accuracy: 0.7313
 
 
 
 
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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: 45
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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: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:------:|:---------------:|:--------:|
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+ | 1.3201 | 1.0 | 28602 | 1.1799 | 0.7313 |
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+ | 1.1258 | 2.0 | 57204 | 1.3399 | 0.7205 |
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+ | 1.19 | 3.0 | 85806 | 1.2192 | 0.7516 |
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+ | 1.1178 | 4.0 | 114408 | 1.2138 | 0.7594 |
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+ | 1.1292 | 5.0 | 143010 | 1.2117 | 0.7611 |
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+ | 1.0537 | 6.0 | 171612 | 1.3268 | 0.7413 |
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+ | 1.0113 | 7.0 | 200214 | 1.3229 | 0.7460 |
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+ | 1.1022 | 8.0 | 228816 | 1.2681 | 0.7525 |
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+
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  ### Framework versions
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