diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..d6a7e4dbc134fa60f99ef8998cc4603135ca737c --- /dev/null +++ b/README.md @@ -0,0 +1,67 @@ +--- +base_model: aubmindlab/bert-base-arabertv02 +tags: +- generated_from_trainer +model-index: +- name: arabert_baseline_mechanics_task4_fold1 + results: [] +--- + + + +# arabert_baseline_mechanics_task4_fold1 + +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: 0.4306 +- Qwk: 0.1429 +- Mse: 0.4306 + +## 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 | 1.0 | 2 | 4.1119 | 0.0 | 4.1119 | +| No log | 2.0 | 4 | 2.8498 | 0.0 | 2.8498 | +| No log | 3.0 | 6 | 2.1097 | -0.0270 | 2.1097 | +| No log | 4.0 | 8 | 1.5588 | 0.0 | 1.5588 | +| No log | 5.0 | 10 | 0.8885 | 0.0 | 0.8885 | +| No log | 6.0 | 12 | 0.6177 | 0.0 | 0.6177 | +| No log | 7.0 | 14 | 0.5062 | -0.4286 | 0.5062 | +| No log | 8.0 | 16 | 0.4578 | 0.0 | 0.4578 | +| No log | 9.0 | 18 | 0.4347 | 0.0909 | 0.4347 | +| No log | 10.0 | 20 | 0.4306 | 0.1429 | 0.4306 | + + +### 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 b/model.safetensors new file mode 100644 index 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