Training in progress, step 30

README.md

@@ -0,0 +1,72 @@
+---
+base_model: aubmindlab/bert-base-arabertv02
+tags:
+- generated_from_trainer
+model-index:
+- name: arabert_baseline_relevance_task3_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_task3_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: 0.2326
+- Qwk: 0.0
+- Mse: 0.2326
+
+## 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        | 0.6667 | 2    | 0.5604          | -0.0845 | 0.5490 |
+| No log        | 1.3333 | 4    | 0.4316          | 0.0000  | 0.4136 |
+| No log        | 2.0    | 6    | 0.4602          | -0.1579 | 0.4699 |
+| No log        | 2.6667 | 8    | 0.2569          | 0.0294  | 0.2631 |
+| No log        | 3.3333 | 10   | 0.2323          | 0.0     | 0.2316 |
+| No log        | 4.0    | 12   | 0.3209          | 0.0     | 0.3171 |
+| No log        | 4.6667 | 14   | 0.2901          | 0.0     | 0.2877 |
+| No log        | 5.3333 | 16   | 0.2432          | 0.0     | 0.2433 |
+| No log        | 6.0    | 18   | 0.2222          | 0.0     | 0.2222 |
+| No log        | 6.6667 | 20   | 0.2264          | 0.0     | 0.2257 |
+| No log        | 7.3333 | 22   | 0.2342          | 0.0     | 0.2329 |
+| No log        | 8.0    | 24   | 0.2393          | 0.0     | 0.2375 |
+| No log        | 8.6667 | 26   | 0.2361          | 0.0     | 0.2351 |
+| No log        | 9.3333 | 28   | 0.2342          | 0.0     | 0.2338 |
+| No log        | 10.0   | 30   | 0.2326          | 0.0     | 0.2326 |
+
+
+### 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:aabf95fa38ddcb0ab874312be2676c9e679225ba9feae17033033e39b8f4cf0e
+size 540799996

runs/Aug27_16-09-30_353807a3cce0/events.out.tfevents.1724774972.353807a3cce0.22.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:54fa446542380eb3979f377bf211254a65d52cf818e9d030327897cb521cab4d
+size 16052

runs/Aug27_16-10-58_353807a3cce0/events.out.tfevents.1724775059.353807a3cce0.22.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9967b63c6e7651bcd5ad48439eea86e65496cad31a1ea88f6891b1a3eb507d1
+size 16052

runs/Aug27_16-12-28_353807a3cce0/events.out.tfevents.1724775150.353807a3cce0.22.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce0cd044ff60d5f6c3ae4d825e5400aa4c21f8501b205fb999bd64cb08e45639
+size 16052

runs/Aug27_16-14-05_353807a3cce0/events.out.tfevents.1724775246.353807a3cce0.22.3

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:713026a46ce7af1b5a31660240f58d5a6ba763db45add9842d50871c1ce9d1d5
+size 16052

runs/Aug27_16-15-34_353807a3cce0/events.out.tfevents.1724775336.353807a3cce0.22.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:071024df5f4471e2851681a76d790a206539aa0461161a357de7f2fa7236fa48
+size 10682

runs/Aug27_16-16-31_353807a3cce0/events.out.tfevents.1724775392.353807a3cce0.22.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8c0a4a338ada9abd2f81d20ca1b00f247864ac1fdbad5010f3734dc0d0e7cfb
+size 10682

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:faa6a8f8fc350787222a1da747d6c24bb26cc1b75930af7ddeca8b42ed9a7e1f
+size 5240