Training in progress, step 30

README.md

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+---
+library_name: transformers
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task2_organization
+  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. -->
+
+# ArabicNewSplits4_withSameOriginalTrainFileOfSplit3_FineTuningAraBERT_noAug_task2_organization
+
+This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7735
+- Qwk: 0.4301
+- Mse: 0.7735
+- Rmse: 0.8795
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Qwk    | Mse    | Rmse   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| No log        | 0.5   | 2    | 3.9949          | 0.0352 | 3.9949 | 1.9987 |
+| No log        | 1.0   | 4    | 2.1097          | 0.0566 | 2.1097 | 1.4525 |
+| No log        | 1.5   | 6    | 1.0984          | 0.0864 | 1.0984 | 1.0480 |
+| No log        | 2.0   | 8    | 0.8102          | 0.0191 | 0.8102 | 0.9001 |
+| No log        | 2.5   | 10   | 0.7324          | 0.1841 | 0.7324 | 0.8558 |
+| No log        | 3.0   | 12   | 0.7691          | 0.1585 | 0.7691 | 0.8770 |
+| No log        | 3.5   | 14   | 0.9091          | 0.1073 | 0.9091 | 0.9535 |
+| No log        | 4.0   | 16   | 0.8613          | 0.2259 | 0.8613 | 0.9280 |
+| No log        | 4.5   | 18   | 0.7906          | 0.2998 | 0.7906 | 0.8892 |
+| No log        | 5.0   | 20   | 0.8261          | 0.3354 | 0.8261 | 0.9089 |
+| No log        | 5.5   | 22   | 1.0001          | 0.2999 | 1.0001 | 1.0001 |
+| No log        | 6.0   | 24   | 0.9977          | 0.2453 | 0.9977 | 0.9989 |
+| No log        | 6.5   | 26   | 0.9361          | 0.2159 | 0.9361 | 0.9675 |
+| No log        | 7.0   | 28   | 0.8738          | 0.3377 | 0.8738 | 0.9348 |
+| No log        | 7.5   | 30   | 0.8251          | 0.3290 | 0.8251 | 0.9083 |
+| No log        | 8.0   | 32   | 0.7739          | 0.4360 | 0.7739 | 0.8797 |
+| No log        | 8.5   | 34   | 0.7416          | 0.4903 | 0.7416 | 0.8612 |
+| No log        | 9.0   | 36   | 0.7446          | 0.4757 | 0.7446 | 0.8629 |
+| No log        | 9.5   | 38   | 0.7633          | 0.4459 | 0.7633 | 0.8737 |
+| No log        | 10.0  | 40   | 0.7735          | 0.4301 | 0.7735 | 0.8795 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "aubmindlab/bert-base-arabertv02",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "regression",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 64000
+}

model.safetensors

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+size 540799996

training_args.bin

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