Training in progress, step 40

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_task3_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_task3_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: 0.5966
+- Qwk: 0.2653
+- Mse: 0.5966
+- Rmse: 0.7724
+
+## 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        | 0.6667 | 2    | 3.4268          | 0.0013  | 3.4268 | 1.8512 |
+| No log        | 1.3333 | 4    | 2.5942          | -0.0732 | 2.5942 | 1.6106 |
+| No log        | 2.0    | 6    | 1.2332          | 0.0     | 1.2332 | 1.1105 |
+| No log        | 2.6667 | 8    | 0.9727          | 0.0388  | 0.9727 | 0.9862 |
+| No log        | 3.3333 | 10   | 1.1042          | 0.0598  | 1.1042 | 1.0508 |
+| No log        | 4.0    | 12   | 0.7208          | 0.1590  | 0.7208 | 0.8490 |
+| No log        | 4.6667 | 14   | 0.6918          | 0.1590  | 0.6918 | 0.8318 |
+| No log        | 5.3333 | 16   | 0.6109          | 0.1913  | 0.6109 | 0.7816 |
+| No log        | 6.0    | 18   | 0.5634          | 0.2632  | 0.5634 | 0.7506 |
+| No log        | 6.6667 | 20   | 0.6051          | 0.1209  | 0.6051 | 0.7779 |
+| No log        | 7.3333 | 22   | 0.6485          | 0.1429  | 0.6485 | 0.8053 |
+| No log        | 8.0    | 24   | 0.6011          | 0.2410  | 0.6011 | 0.7753 |
+| No log        | 8.6667 | 26   | 0.5982          | 0.2239  | 0.5982 | 0.7734 |
+| No log        | 9.3333 | 28   | 0.5958          | 0.2653  | 0.5958 | 0.7719 |
+| No log        | 10.0   | 30   | 0.5966          | 0.2653  | 0.5966 | 0.7724 |
+
+
+### 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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