End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: dadashzadeh/tiny-bert-Sentiment-persian
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: tiny-bert-Sentiment-persian
   results: []
@@ -15,12 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.6440
-- eval_accuracy: 0.7546
-- eval_runtime: 1.4751
-- eval_samples_per_second: 1569.396
-- eval_steps_per_second: 71.86
-- step: 0
+- Loss: 1.1799
+- Accuracy: 0.7313
 
 ## Model description
 
@@ -40,12 +38,26 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 22
-- eval_batch_size: 22
-- seed: 50
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 45
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 11
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 1.3201        | 1.0   | 28602  | 1.1799          | 0.7313   |
+| 1.1258        | 2.0   | 57204  | 1.3399          | 0.7205   |
+| 1.19          | 3.0   | 85806  | 1.2192          | 0.7516   |
+| 1.1178        | 4.0   | 114408 | 1.2138          | 0.7594   |
+| 1.1292        | 5.0   | 143010 | 1.2117          | 0.7611   |
+| 1.0537        | 6.0   | 171612 | 1.3268          | 0.7413   |
+| 1.0113        | 7.0   | 200214 | 1.3229          | 0.7460   |
+| 1.1022        | 8.0   | 228816 | 1.2681          | 0.7525   |
+
 
 ### Framework versions
 

model.safetensors

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training_args.bin

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