Training in progress, step 40

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: arabert_baseline_relevance_task8_fold1
+  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. -->
+
+# arabert_baseline_relevance_task8_fold1
+
+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: 0.2901
+- Qwk: 0.4096
+- Mse: 0.2901
+
+## 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: 16
+- eval_batch_size: 16
+- 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    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
+| No log        | 0.5   | 2    | 0.6071          | -0.1667 | 0.6071 |
+| No log        | 1.0   | 4    | 0.6292          | -0.0548 | 0.6292 |
+| No log        | 1.5   | 6    | 0.5112          | 0.3467  | 0.5112 |
+| No log        | 2.0   | 8    | 0.2941          | 0.2000  | 0.2941 |
+| No log        | 2.5   | 10   | 0.2595          | 0.3171  | 0.2595 |
+| No log        | 3.0   | 12   | 0.3011          | 0.3171  | 0.3011 |
+| No log        | 3.5   | 14   | 0.2934          | 0.3171  | 0.2934 |
+| No log        | 4.0   | 16   | 0.2489          | 0.3171  | 0.2489 |
+| No log        | 4.5   | 18   | 0.2716          | 0.4096  | 0.2716 |
+| No log        | 5.0   | 20   | 0.3200          | 0.3099  | 0.3200 |
+| No log        | 5.5   | 22   | 0.3416          | 0.2000  | 0.3416 |
+| No log        | 6.0   | 24   | 0.3237          | 0.4096  | 0.3237 |
+| No log        | 6.5   | 26   | 0.2949          | 0.4096  | 0.2949 |
+| No log        | 7.0   | 28   | 0.2821          | 0.4096  | 0.2821 |
+| No log        | 7.5   | 30   | 0.2766          | 0.4096  | 0.2766 |
+| No log        | 8.0   | 32   | 0.2780          | 0.4096  | 0.2780 |
+| No log        | 8.5   | 34   | 0.2807          | 0.4096  | 0.2807 |
+| No log        | 9.0   | 36   | 0.2841          | 0.4096  | 0.2841 |
+| No log        | 9.5   | 38   | 0.2889          | 0.4096  | 0.2889 |
+| No log        | 10.0  | 40   | 0.2901          | 0.4096  | 0.2901 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- 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": "4.44.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 64000
+}

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training_args.bin

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