Training in progress, step 40

README.md

@@ -0,0 +1,77 @@
+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: arabert_baseline_style_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_style_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: 0.3875
+- Qwk: 0.7083
+- Mse: 0.3875
+
+## 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    | 1.0660          | 0.2857 | 1.0660 |
+| No log        | 1.0   | 4    | 0.9800          | 0.4940 | 0.9800 |
+| No log        | 1.5   | 6    | 0.5715          | 0.5758 | 0.5715 |
+| No log        | 2.0   | 8    | 0.9494          | 0.3957 | 0.9494 |
+| No log        | 2.5   | 10   | 0.4859          | 0.6111 | 0.4859 |
+| No log        | 3.0   | 12   | 0.3914          | 0.8048 | 0.3914 |
+| No log        | 3.5   | 14   | 0.4214          | 0.7388 | 0.4214 |
+| No log        | 4.0   | 16   | 0.4551          | 0.7388 | 0.4551 |
+| No log        | 4.5   | 18   | 0.5826          | 0.7083 | 0.5826 |
+| No log        | 5.0   | 20   | 0.5851          | 0.6392 | 0.5851 |
+| No log        | 5.5   | 22   | 0.5408          | 0.7083 | 0.5408 |
+| No log        | 6.0   | 24   | 0.4212          | 0.7298 | 0.4212 |
+| No log        | 6.5   | 26   | 0.3887          | 0.8205 | 0.3887 |
+| No log        | 7.0   | 28   | 0.3697          | 0.8048 | 0.3697 |
+| No log        | 7.5   | 30   | 0.3635          | 0.8048 | 0.3635 |
+| No log        | 8.0   | 32   | 0.3627          | 0.8048 | 0.3627 |
+| No log        | 8.5   | 34   | 0.3751          | 0.7159 | 0.3751 |
+| No log        | 9.0   | 36   | 0.3889          | 0.7083 | 0.3889 |
+| No log        | 9.5   | 38   | 0.3890          | 0.7083 | 0.3890 |
+| No log        | 10.0  | 40   | 0.3875          | 0.7083 | 0.3875 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,32 @@
+{
+  "_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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8d490309383746671f95597ca9bd7e78d990f0a2947b4531155f28ddd51d4d75
+size 540799996

runs/Aug28_14-04-11_b965fc3fcb70/events.out.tfevents.1724853854.b965fc3fcb70.23.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:298598dfe1da29a1015205226aa6363759f7403d354272186033671b01edd32d
+size 12475

runs/Aug28_14-05-19_b965fc3fcb70/events.out.tfevents.1724853920.b965fc3fcb70.23.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6fc98b756644e3fa0d5dd9f786526938fc723e9202ff3b683cb7a9e157beb07a
+size 12475

runs/Aug28_14-06-28_b965fc3fcb70/events.out.tfevents.1724853989.b965fc3fcb70.23.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99c2ad69faf0c48edf643651e6a7bdd8b0ca5f241179aa180bd95e026caaa1d8
+size 12474

runs/Aug28_14-07-44_b965fc3fcb70/events.out.tfevents.1724854065.b965fc3fcb70.23.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1cc0be9457cfda04be03e8a064f99377b1ff840c9b92df5230493d259c205ba
+size 12474

runs/Aug28_14-08-55_b965fc3fcb70/events.out.tfevents.1724854136.b965fc3fcb70.23.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a99c264aee715d7461b3b8b32b995ab8d22f394b6730bbde18365098e54db87
+size 12468

runs/Aug28_14-10-10_b965fc3fcb70/events.out.tfevents.1724854211.b965fc3fcb70.23.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:37facc491dfb303a0f95a08715c359323380f0a28710839ab117a763f4a5087e
+size 12468

runs/Aug28_14-11-23_b965fc3fcb70/events.out.tfevents.1724854285.b965fc3fcb70.23.6

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:153789340fa6f9f2fe86cbd6bfe5e6d00899d5a7672c6b0ffab78dd2da0f9a5f
+size 12472

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50396ae48da66002d738dbc515d01df1fcc60a32fe421bba90d1097246ebcc33
+size 5240