End of training

README.md

@@ -1,72 +1,74 @@
----
-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: []
-language:
-- fa
-pipeline_tag: text-classification
-datasets:
-- hezarai/sentiment-dksf
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# tiny-bert-Sentiment-persian
-
-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:
-- Loss: 1.1799
-- Accuracy: 0.7313
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- 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: 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
-
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+---
+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: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# tiny-bert-Sentiment-persian
+
+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:
+- Loss: 0.6553
+- Accuracy: 0.7611
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 45
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|
+| 0.6157        | 0.9999  | 3575  | 0.6703          | 0.7577   |
+| 0.5833        | 1.9999  | 7150  | 0.7599          | 0.7171   |
+| 0.6015        | 2.9998  | 10725 | 0.6824          | 0.7590   |
+| 0.5601        | 4.0     | 14301 | 0.6780          | 0.7533   |
+| 0.5699        | 4.9999  | 17876 | 0.7071          | 0.7356   |
+| 0.5519        | 5.9999  | 21451 | 0.6931          | 0.7391   |
+| 0.5436        | 6.9998  | 25026 | 0.6736          | 0.7629   |
+| 0.5482        | 8.0     | 28602 | 0.6567          | 0.7685   |
+| 0.5367        | 8.9999  | 32177 | 0.6553          | 0.7611   |
+| 0.5399        | 9.9999  | 35752 | 0.6691          | 0.7616   |
+| 0.5112        | 10.9998 | 39327 | 0.6785          | 0.7564   |
+| 0.5113        | 11.9992 | 42900 | 0.6773          | 0.7572   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

@@ -1,36 +1,36 @@
-{
-  "_name_or_path": "dadashzadeh/tiny-bert-Sentiment-persian",
-  "architectures": [
-    "BertForSequenceClassification"
-  ],
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-  "classifier_dropout": null,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 128,
-  "id2label": {
-    "0": "negative",
-    "1": "positive",
-    "2": "neutral"
-  },
-  "initializer_range": 0.02,
-  "intermediate_size": 512,
-  "label2id": {
-    "negative": 0,
-    "neutral": 2,
-    "positive": 1
-  },
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "bert",
-  "num_attention_heads": 2,
-  "num_hidden_layers": 2,
-  "pad_token_id": 0,
-  "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
-  "torch_dtype": "float32",
-  "transformers_version": "4.41.2",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 30522
-}
+{
+  "_name_or_path": "dadashzadeh/tiny-bert-Sentiment-persian",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "id2label": {
+    "0": "negative",
+    "1": "positive",
+    "2": "neutral"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "label2id": {
+    "negative": 0,
+    "neutral": 2,
+    "positive": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

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special_tokens_map.json

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tokenizer_config.json

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-{
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+  "unk_token": "[UNK]"
+}

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