diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d1933f0d2811047882196c1babd1f7f18c5dd764 --- /dev/null +++ b/README.md @@ -0,0 +1,88 @@ +--- +base_model: aubmindlab/bert-base-arabertv02 +tags: +- generated_from_trainer +model-index: +- name: arabert_cross_relevance_task5_fold2 + results: [] +--- + + + +# arabert_cross_relevance_task5_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: 0.3506 +- Qwk: -0.0164 +- Mse: 0.3512 + +## 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 | 0.0317 | 2 | 0.4906 | -0.0037 | 0.4920 | +| No log | 0.0635 | 4 | 0.3371 | -0.0172 | 0.3371 | +| No log | 0.0952 | 6 | 0.3335 | -0.0128 | 0.3335 | +| No log | 0.1270 | 8 | 0.2836 | 0.0122 | 0.2837 | +| No log | 0.1587 | 10 | 0.3153 | 0.0 | 0.3156 | +| No log | 0.1905 | 12 | 0.2834 | 0.0 | 0.2838 | +| No log | 0.2222 | 14 | 0.2992 | 0.0 | 0.2996 | +| No log | 0.2540 | 16 | 0.3898 | 0.0454 | 0.3898 | +| No log | 0.2857 | 18 | 0.4736 | 0.0608 | 0.4735 | +| No log | 0.3175 | 20 | 0.4950 | -0.0251 | 0.4949 | +| No log | 0.3492 | 22 | 0.4696 | -0.0281 | 0.4697 | +| No log | 0.3810 | 24 | 0.4030 | -0.0521 | 0.4033 | +| No log | 0.4127 | 26 | 0.3436 | 0.0122 | 0.3443 | +| No log | 0.4444 | 28 | 0.3297 | 0.0122 | 0.3305 | +| No log | 0.4762 | 30 | 0.3336 | 0.0122 | 0.3344 | +| No log | 0.5079 | 32 | 0.3536 | 0.0122 | 0.3541 | +| No log | 0.5397 | 34 | 0.3706 | -0.0042 | 0.3710 | +| No log | 0.5714 | 36 | 0.3495 | 0.0 | 0.3500 | +| No log | 0.6032 | 38 | 0.3317 | 0.0 | 0.3323 | +| No log | 0.6349 | 40 | 0.3188 | 0.0 | 0.3196 | +| No log | 0.6667 | 42 | 0.3182 | 0.0 | 0.3190 | +| No log | 0.6984 | 44 | 0.3248 | 0.0 | 0.3256 | +| No log | 0.7302 | 46 | 0.3286 | 0.0 | 0.3294 | +| No log | 0.7619 | 48 | 0.3328 | -0.0164 | 0.3336 | +| No log | 0.7937 | 50 | 0.3347 | -0.0164 | 0.3354 | +| No log | 0.8254 | 52 | 0.3404 | -0.0164 | 0.3411 | +| No log | 0.8571 | 54 | 0.3437 | -0.0164 | 0.3444 | +| No log | 0.8889 | 56 | 0.3441 | -0.0164 | 0.3448 | +| No log | 0.9206 | 58 | 0.3444 | -0.0164 | 0.3450 | +| No log | 0.9524 | 60 | 0.3482 | -0.0164 | 0.3488 | +| No log | 0.9841 | 62 | 0.3506 | -0.0164 | 0.3512 | + + +### 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 +} 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