diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..61abcfa6ed1527a79edba30e3ccfe994aa13913c --- /dev/null +++ b/README.md @@ -0,0 +1,87 @@ +--- +base_model: aubmindlab/bert-base-arabertv02 +tags: +- generated_from_trainer +model-index: +- name: arabert_cross_relevance_task6_fold5 + results: [] +--- + + + +# arabert_cross_relevance_task6_fold5 + +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: 0.1873 +- Qwk: 0.3574 +- Mse: 0.1873 + +## 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 | 0.0328 | 2 | 1.7597 | 0.0 | 1.7597 | +| No log | 0.0656 | 4 | 0.5562 | 0.1908 | 0.5562 | +| No log | 0.0984 | 6 | 0.1992 | 0.3305 | 0.1992 | +| No log | 0.1311 | 8 | 0.2333 | 0.4006 | 0.2333 | +| No log | 0.1639 | 10 | 0.2174 | 0.2998 | 0.2174 | +| No log | 0.1967 | 12 | 0.2464 | 0.2998 | 0.2464 | +| No log | 0.2295 | 14 | 0.2503 | 0.3279 | 0.2503 | +| No log | 0.2623 | 16 | 0.2466 | 0.3305 | 0.2466 | +| No log | 0.2951 | 18 | 0.2107 | 0.3279 | 0.2107 | +| No log | 0.3279 | 20 | 0.1965 | 0.3251 | 0.1965 | +| No log | 0.3607 | 22 | 0.1973 | 0.3292 | 0.1973 | +| No log | 0.3934 | 24 | 0.1930 | 0.3318 | 0.1930 | +| No log | 0.4262 | 26 | 0.1955 | 0.3379 | 0.1955 | +| No log | 0.4590 | 28 | 0.1901 | 0.3379 | 0.1901 | +| No log | 0.4918 | 30 | 0.1893 | 0.3343 | 0.1893 | +| No log | 0.5246 | 32 | 0.1861 | 0.3279 | 0.1861 | +| No log | 0.5574 | 34 | 0.1931 | 0.3453 | 0.1931 | +| No log | 0.5902 | 36 | 0.2045 | 0.5036 | 0.2045 | +| No log | 0.6230 | 38 | 0.2065 | 0.5858 | 0.2065 | +| No log | 0.6557 | 40 | 0.1891 | 0.4899 | 0.1891 | +| No log | 0.6885 | 42 | 0.1813 | 0.3696 | 0.1813 | +| No log | 0.7213 | 44 | 0.2125 | 0.3665 | 0.2125 | +| No log | 0.7541 | 46 | 0.2717 | 0.3526 | 0.2717 | +| No log | 0.7869 | 48 | 0.3306 | 0.3344 | 0.3306 | +| No log | 0.8197 | 50 | 0.3275 | 0.3475 | 0.3275 | +| No log | 0.8525 | 52 | 0.2862 | 0.3587 | 0.2862 | +| No log | 0.8852 | 54 | 0.2419 | 0.3643 | 0.2419 | +| No log | 0.9180 | 56 | 0.2102 | 0.3614 | 0.2102 | +| No log | 0.9508 | 58 | 0.1933 | 0.3590 | 0.1933 | +| No log | 0.9836 | 60 | 0.1873 | 0.3574 | 0.1873 | + + +### 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": "absolute", + "problem_type": "regression", + "torch_dtype": "float32", + "transformers_version": "4.44.0", + "type_vocab_size": 2, + "use_cache": true, + "vocab_size": 64000 +} diff --git a/model.safetensors 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