Training in progress, step 60

README.md

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+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: arabert_baseline_organization_task1_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_organization_task1_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: 0.6156
+- Qwk: 0.7263
+- Mse: 0.5866
+
+## 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        | 0.3333 | 2    | 4.0016          | -0.0094 | 4.0420 |
+| No log        | 0.6667 | 4    | 1.5678          | 0.0597  | 1.6106 |
+| No log        | 1.0    | 6    | 1.1107          | 0.125   | 1.1443 |
+| No log        | 1.3333 | 8    | 0.6987          | 0.2286  | 0.7156 |
+| No log        | 1.6667 | 10   | 0.6381          | 0.4661  | 0.6469 |
+| No log        | 2.0    | 12   | 0.5798          | 0.3984  | 0.5877 |
+| No log        | 2.3333 | 14   | 0.4646          | 0.552   | 0.4642 |
+| No log        | 2.6667 | 16   | 0.4683          | 0.6379  | 0.4526 |
+| No log        | 3.0    | 18   | 0.4347          | 0.7154  | 0.4182 |
+| No log        | 3.3333 | 20   | 0.4464          | 0.5977  | 0.4400 |
+| No log        | 3.6667 | 22   | 0.4523          | 0.6957  | 0.4373 |
+| No log        | 4.0    | 24   | 0.6917          | 0.7616  | 0.6664 |
+| No log        | 4.3333 | 26   | 0.8197          | 0.7485  | 0.7888 |
+| No log        | 4.6667 | 28   | 0.7131          | 0.7701  | 0.6829 |
+| No log        | 5.0    | 30   | 0.7249          | 0.7154  | 0.6941 |
+| No log        | 5.3333 | 32   | 0.8136          | 0.7572  | 0.7780 |
+| No log        | 5.6667 | 34   | 0.9048          | 0.7347  | 0.8646 |
+| No log        | 6.0    | 36   | 0.8073          | 0.7347  | 0.7664 |
+| No log        | 6.3333 | 38   | 0.7257          | 0.7840  | 0.6853 |
+| No log        | 6.6667 | 40   | 0.7345          | 0.7840  | 0.6936 |
+| No log        | 7.0    | 42   | 0.7184          | 0.7263  | 0.6797 |
+| No log        | 7.3333 | 44   | 0.6757          | 0.7263  | 0.6409 |
+| No log        | 7.6667 | 46   | 0.7056          | 0.7042  | 0.6701 |
+| No log        | 8.0    | 48   | 0.7177          | 0.7515  | 0.6822 |
+| No log        | 8.3333 | 50   | 0.7076          | 0.7515  | 0.6730 |
+| No log        | 8.6667 | 52   | 0.7003          | 0.7515  | 0.6663 |
+| No log        | 9.0    | 54   | 0.6732          | 0.7515  | 0.6407 |
+| No log        | 9.3333 | 56   | 0.6412          | 0.7042  | 0.6104 |
+| No log        | 9.6667 | 58   | 0.6207          | 0.7263  | 0.5913 |
+| No log        | 10.0   | 60   | 0.6156          | 0.7263  | 0.5866 |
+
+
+### 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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