Training in progress, step 30

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: arabert_baseline_relevance_task1_fold0
+  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_task1_fold0
+
+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: 0.2514
+- Qwk: 0.0808
+- Mse: 0.2559
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Qwk     | Mse    |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|
+| No log        | 0.3333 | 2    | 1.1076          | -0.0049 | 1.0949 |
+| No log        | 0.6667 | 4    | 0.2779          | 0.0     | 0.2800 |
+| No log        | 1.0    | 6    | 0.2271          | 0.3467  | 0.2294 |
+| No log        | 1.3333 | 8    | 0.2361          | 0.1667  | 0.2359 |
+| No log        | 1.6667 | 10   | 0.1985          | 0.1250  | 0.2028 |
+| No log        | 2.0    | 12   | 0.2232          | 0.0     | 0.2304 |
+| No log        | 2.3333 | 14   | 0.2167          | 0.0     | 0.2237 |
+| No log        | 2.6667 | 16   | 0.2206          | 0.0     | 0.2259 |
+| No log        | 3.0    | 18   | 0.2075          | 0.0     | 0.2127 |
+| No log        | 3.3333 | 20   | 0.2078          | 0.0     | 0.2132 |
+| No log        | 3.6667 | 22   | 0.2183          | 0.0     | 0.2235 |
+| No log        | 4.0    | 24   | 0.2326          | 0.0     | 0.2375 |
+| No log        | 4.3333 | 26   | 0.2498          | 0.0392  | 0.2543 |
+| No log        | 4.6667 | 28   | 0.2547          | 0.0392  | 0.2590 |
+| No log        | 5.0    | 30   | 0.2514          | 0.0808  | 0.2559 |
+
+
+### 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
+}

model.safetensors

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training_args.bin

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