diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..c940f195753fcba90ee528f1406a16631321e74a --- /dev/null +++ b/README.md @@ -0,0 +1,91 @@ +--- +base_model: aubmindlab/bert-base-arabertv02 +tags: +- generated_from_trainer +model-index: +- name: arabert_cross_vocabulary_task4_fold6 + results: [] +--- + + + +# arabert_cross_vocabulary_task4_fold6 + +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: 0.3809 +- Qwk: 0.7212 +- Mse: 0.3803 + +## 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 | 0.0290 | 2 | 3.5915 | 0.0135 | 3.5774 | +| No log | 0.0580 | 4 | 1.6728 | 0.1066 | 1.6543 | +| No log | 0.0870 | 6 | 0.9207 | 0.3071 | 0.9146 | +| No log | 0.1159 | 8 | 0.9451 | 0.4183 | 0.9392 | +| No log | 0.1449 | 10 | 1.0092 | 0.4761 | 1.0019 | +| No log | 0.1739 | 12 | 0.8467 | 0.4077 | 0.8353 | +| No log | 0.2029 | 14 | 0.7589 | 0.4123 | 0.7471 | +| No log | 0.2319 | 16 | 0.6332 | 0.4728 | 0.6243 | +| No log | 0.2609 | 18 | 0.6097 | 0.5641 | 0.6051 | +| No log | 0.2899 | 20 | 0.5389 | 0.5141 | 0.5354 | +| No log | 0.3188 | 22 | 0.5073 | 0.5047 | 0.5034 | +| No log | 0.3478 | 24 | 0.4996 | 0.5613 | 0.4954 | +| No log | 0.3768 | 26 | 0.4724 | 0.5931 | 0.4689 | +| No log | 0.4058 | 28 | 0.4067 | 0.6836 | 0.4044 | +| No log | 0.4348 | 30 | 0.4385 | 0.8033 | 0.4374 | +| No log | 0.4638 | 32 | 0.4624 | 0.8118 | 0.4616 | +| No log | 0.4928 | 34 | 0.4385 | 0.7922 | 0.4378 | +| No log | 0.5217 | 36 | 0.4184 | 0.6922 | 0.4169 | +| No log | 0.5507 | 38 | 0.4874 | 0.6033 | 0.4851 | +| No log | 0.5797 | 40 | 0.6206 | 0.5584 | 0.6172 | +| No log | 0.6087 | 42 | 0.7056 | 0.5187 | 0.7018 | +| No log | 0.6377 | 44 | 0.6335 | 0.5490 | 0.6305 | +| No log | 0.6667 | 46 | 0.4625 | 0.6195 | 0.4610 | +| No log | 0.6957 | 48 | 0.3971 | 0.7571 | 0.3968 | +| No log | 0.7246 | 50 | 0.4158 | 0.7849 | 0.4158 | +| No log | 0.7536 | 52 | 0.4127 | 0.7821 | 0.4127 | +| No log | 0.7826 | 54 | 0.4163 | 0.7855 | 0.4162 | +| No log | 0.8116 | 56 | 0.4055 | 0.7826 | 0.4053 | +| No log | 0.8406 | 58 | 0.3891 | 0.7730 | 0.3888 | +| No log | 0.8696 | 60 | 0.3833 | 0.7639 | 0.3829 | +| No log | 0.8986 | 62 | 0.3800 | 0.7588 | 0.3795 | +| No log | 0.9275 | 64 | 0.3788 | 0.7357 | 0.3783 | +| No log | 0.9565 | 66 | 0.3800 | 0.7299 | 0.3795 | +| No log | 0.9855 | 68 | 0.3809 | 0.7212 | 0.3803 | + + +### 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, + "pad_token_id": 0, + "position_embedding_type": 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