End of training

README.md

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+---
+license: apache-2.0
+base_model: philschmid/tiny-bert-sst2-distilled
+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 [philschmid/tiny-bert-sst2-distilled](https://huggingface.co/philschmid/tiny-bert-sst2-distilled) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8137
+- Accuracy: 0.6423
+
+## 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: 1e-08
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 12
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.8627        | 1.0   | 3576  | 0.8142          | 0.6410   |
+| 0.8555        | 2.0   | 7152  | 0.8140          | 0.6415   |
+| 0.874         | 3.0   | 10728 | 0.8138          | 0.6419   |
+| 0.8566        | 4.0   | 14304 | 0.8137          | 0.6423   |
+| 0.8739        | 5.0   | 17880 | 0.8137          | 0.6423   |
+| 0.8917        | 6.0   | 21456 | 0.8138          | 0.6432   |
+| 0.866         | 7.0   | 25032 | 0.8137          | 0.6432   |
+| 0.8613        | 8.0   | 28608 | 0.8137          | 0.6432   |
+| 0.875         | 9.0   | 32184 | 0.8137          | 0.6441   |
+| 0.8838        | 10.0  | 35760 | 0.8137          | 0.6441   |
+| 0.8682        | 11.0  | 39336 | 0.8137          | 0.6441   |
+| 0.8736        | 12.0  | 42912 | 0.8137          | 0.6441   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "philschmid/tiny-bert-sst2-distilled",
+  "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": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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special_tokens_map.json

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+{
+  "cls_token": {
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+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
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+      "single_word": false,
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+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "max_length": 512,
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+  "pad_token": "[PAD]",
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+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

training_args.bin

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