diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..754efd5181c941cf9ab2348dae9fbec02a33539b --- /dev/null +++ b/README.md @@ -0,0 +1,92 @@ +--- +base_model: aubmindlab/bert-base-arabertv02 +tags: +- generated_from_trainer +model-index: +- name: arabert_cross_relevance_task4_fold2 + results: [] +--- + + + +# arabert_cross_relevance_task4_fold2 + +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: 0.3180 +- Qwk: 0.0326 +- Mse: 0.3185 + +## 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: 1 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | +|:-------------:|:------:|:----:|:---------------:|:-------:|:------:| +| No log | 0.0282 | 2 | 1.0877 | 0.0128 | 1.0825 | +| No log | 0.0563 | 4 | 0.3592 | 0.0193 | 0.3590 | +| No log | 0.0845 | 6 | 0.7857 | 0.1272 | 0.7866 | +| No log | 0.1127 | 8 | 0.7311 | 0.1074 | 0.7317 | +| No log | 0.1408 | 10 | 0.7894 | 0.0481 | 0.7899 | +| No log | 0.1690 | 12 | 0.4933 | 0.0795 | 0.4934 | +| No log | 0.1972 | 14 | 0.3343 | 0.0080 | 0.3342 | +| No log | 0.2254 | 16 | 0.3064 | -0.0042 | 0.3064 | +| No log | 0.2535 | 18 | 0.3228 | 0.0080 | 0.3226 | +| No log | 0.2817 | 20 | 0.3574 | 0.0161 | 0.3573 | +| No log | 0.3099 | 22 | 0.4018 | -0.0279 | 0.4017 | +| No log | 0.3380 | 24 | 0.4407 | 0.0417 | 0.4406 | +| No log | 0.3662 | 26 | 0.4990 | 0.0670 | 0.4990 | +| No log | 0.3944 | 28 | 0.5469 | 0.0627 | 0.5469 | +| No log | 0.4225 | 30 | 0.5179 | -0.0116 | 0.5179 | +| No log | 0.4507 | 32 | 0.4679 | 0.0325 | 0.4680 | +| No log | 0.4789 | 34 | 0.4229 | 0.1633 | 0.4230 | +| No log | 0.5070 | 36 | 0.3960 | 0.0899 | 0.3961 | +| No log | 0.5352 | 38 | 0.3963 | 0.1033 | 0.3964 | +| No log | 0.5634 | 40 | 0.3915 | 0.0940 | 0.3917 | +| No log | 0.5915 | 42 | 0.4068 | 0.1085 | 0.4070 | +| No log | 0.6197 | 44 | 0.4341 | 0.1456 | 0.4343 | +| No log | 0.6479 | 46 | 0.4311 | 0.1358 | 0.4312 | +| No log | 0.6761 | 48 | 0.4057 | 0.0940 | 0.4059 | +| No log | 0.7042 | 50 | 0.3862 | 0.0197 | 0.3866 | +| No log | 0.7324 | 52 | 0.3708 | -0.0016 | 0.3712 | +| No log | 0.7606 | 54 | 0.3510 | 0.0028 | 0.3515 | +| No log | 0.7887 | 56 | 0.3311 | 0.0826 | 0.3316 | +| No log | 0.8169 | 58 | 0.3203 | 0.0326 | 0.3207 | +| No log | 0.8451 | 60 | 0.3146 | 0.0203 | 0.3150 | +| No log | 0.8732 | 62 | 0.3110 | 0.0368 | 0.3114 | +| No log | 0.9014 | 64 | 0.3110 | 0.0368 | 0.3115 | +| No log | 0.9296 | 66 | 0.3134 | 0.0203 | 0.3139 | +| No log | 0.9577 | 68 | 0.3161 | 0.0326 | 0.3165 | +| No log | 0.9859 | 70 | 0.3180 | 0.0326 | 0.3185 | + + +### Framework versions + +- Transformers 4.44.0 +- Pytorch 2.4.0 +- Datasets 2.21.0 +- Tokenizers 0.19.1 diff --git a/config.json b/config.json new file mode 100644 index 0000000000000000000000000000000000000000..7054151f8bb9995843add43fe8955e9b54ea82b9 --- /dev/null +++ b/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, + 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