Training in progress, step 30

README.md

@@ -0,0 +1,73 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-base-cased
+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 [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1825
+- Qwk: 0.0
+- Mse: 0.1897
+
+## 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    | 2.4969          | 0.0 | 2.4904 |
+| No log        | 0.6667 | 4    | 1.3473          | 0.0 | 1.3409 |
+| No log        | 1.0    | 6    | 0.3427          | 0.0 | 0.3425 |
+| No log        | 1.3333 | 8    | 0.2309          | 0.0 | 0.2317 |
+| No log        | 1.6667 | 10   | 0.2296          | 0.0 | 0.2295 |
+| No log        | 2.0    | 12   | 0.1857          | 0.0 | 0.1892 |
+| No log        | 2.3333 | 14   | 0.2129          | 0.0 | 0.2222 |
+| No log        | 2.6667 | 16   | 0.2062          | 0.0 | 0.2174 |
+| No log        | 3.0    | 18   | 0.1648          | 0.0 | 0.1739 |
+| No log        | 3.3333 | 20   | 0.1714          | 0.0 | 0.1786 |
+| No log        | 3.6667 | 22   | 0.1879          | 0.0 | 0.1941 |
+| No log        | 4.0    | 24   | 0.1893          | 0.0 | 0.1957 |
+| No log        | 4.3333 | 26   | 0.1901          | 0.0 | 0.1966 |
+| No log        | 4.6667 | 28   | 0.1926          | 0.0 | 0.1991 |
+| No log        | 5.0    | 30   | 0.1825          | 0.0 | 0.1897 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -1,11 +1,10 @@
 {
-  "_name_or_path": "google-bert/bert-base-cased",
+  "_name_or_path": "aubmindlab/bert-base-arabertv02",
   "architectures": [
     "BertForSequenceClassification"
   ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
-  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
@@ -29,5 +28,5 @@
   "transformers_version": "4.44.0",
   "type_vocab_size": 2,
   "use_cache": true,
-  "vocab_size": 28996
+  "vocab_size": 64000
 }

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runs/Aug27_16-04-42_44be8b062948/events.out.tfevents.1724774683.44be8b062948.36.1

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runs/Aug27_16-04-56_44be8b062948/events.out.tfevents.1724774697.44be8b062948.36.2

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training_args.bin

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