End of training

README.md

@@ -6,19 +6,6 @@ tags:
 model-index:
 - name: Arabic-Book-Review-Sentiment-Assessment
   results: []
-datasets:
-- labr
-language:
-- ar
-widget:
-- text: "كتاب يستحق القراءة"
-  example_title: "مثال 1"
-- text: "ما عجبني بنوب، مضيعة للوقت"
-  example_title: "مثال 2"
-- text: "أنصح وبشدة قراءة الكتاب خصوصا لمن لديه اهتمام في العلوم الاجتماعية"
-  example_title: "مثال 3"
-- text: "ماشي حالو يعطيه 4 من 10"
-  example_title: "مثال 4"
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Arabic-Book-Review-Sentiment-Assessment
 
-This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on [labr](https://huggingface.co/datasets/labr) dataset.
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-bert/bert-base-multilingual-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.4467
+- Loss: 1.5290
 
 ## Model description
 
@@ -53,7 +40,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0459        | 1.0   | 1470 | 1.5290          |
+| 0.7622        | 2.0   | 2940 | 1.6278          |
+| 0.8204        | 3.0   | 4410 | 1.5341          |
+| 0.6592        | 4.0   | 5880 | 1.8030          |
+| 0.4976        | 5.0   | 7350 | 1.9638          |
 
 
 ### Framework versions
@@ -61,4 +58,4 @@ The following hyperparameters were used during training:
 - Transformers 4.39.1
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
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 size 669464588

tokenizer_config.json

@@ -43,11 +43,9 @@
   },
   "clean_up_tokenization_spaces": true,
   "cls_token": "[CLS]",
-  "do_basic_tokenize": true,
   "do_lower_case": true,
   "mask_token": "[MASK]",
   "model_max_length": 512,
-  "never_split": null,
   "pad_token": "[PAD]",
   "sep_token": "[SEP]",
   "strip_accents": null,

training_args.bin

@@ -1,3 +1,3 @@
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+size 4984