salbatarni
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Commit
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Parent(s):
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Training in progress, step 57
Browse files- README.md +87 -0
- config.json +32 -0
- model.safetensors +3 -0
- runs/Sep01_12-41-05_04a6a2005c12/events.out.tfevents.1725194467.04a6a2005c12.23.0 +3 -0
- runs/Sep01_12-41-05_04a6a2005c12/events.out.tfevents.1725194639.04a6a2005c12.23.1 +3 -0
- runs/Sep01_12-44-00_04a6a2005c12/events.out.tfevents.1725194641.04a6a2005c12.23.2 +3 -0
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- runs/Sep01_12-46-15_04a6a2005c12/events.out.tfevents.1725194776.04a6a2005c12.23.4 +3 -0
- runs/Sep01_12-46-15_04a6a2005c12/events.out.tfevents.1725194894.04a6a2005c12.23.5 +3 -0
- runs/Sep01_12-48-15_04a6a2005c12/events.out.tfevents.1725194896.04a6a2005c12.23.6 +3 -0
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- runs/Sep01_12-51-23_04a6a2005c12/events.out.tfevents.1725195084.04a6a2005c12.23.8 +3 -0
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- runs/Sep01_12-59-49_04a6a2005c12/events.out.tfevents.1725195590.04a6a2005c12.23.14 +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: aubmindlab/bert-base-arabertv02
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tags:
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- generated_from_trainer
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model-index:
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- name: arabert_cross_relevance_task1_fold6
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# arabert_cross_relevance_task1_fold6
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This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2541
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- Qwk: 0.2373
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- Mse: 0.2539
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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| No log | 0.0333 | 2 | 0.3369 | 0.1172 | 0.3369 |
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| No log | 0.0667 | 4 | 0.4978 | 0.3977 | 0.4978 |
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| No log | 0.1 | 6 | 0.4733 | 0.3519 | 0.4733 |
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| No log | 0.1333 | 8 | 0.3071 | 0.0964 | 0.3071 |
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| No log | 0.1667 | 10 | 0.2732 | 0.1475 | 0.2733 |
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| No log | 0.2 | 12 | 0.2941 | 0.2325 | 0.2943 |
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| No log | 0.2333 | 14 | 0.2888 | 0.2076 | 0.2890 |
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| No log | 0.2667 | 16 | 0.2781 | 0.2076 | 0.2782 |
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| No log | 0.3 | 18 | 0.3038 | 0.2583 | 0.3038 |
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| No log | 0.3333 | 20 | 0.3106 | 0.2515 | 0.3105 |
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| No log | 0.3667 | 22 | 0.2932 | 0.2691 | 0.2930 |
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| No log | 0.4 | 24 | 0.2674 | 0.2167 | 0.2669 |
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| No log | 0.4333 | 26 | 0.2571 | 0.2325 | 0.2564 |
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| No log | 0.4667 | 28 | 0.2516 | 0.2282 | 0.2509 |
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| No log | 0.5 | 30 | 0.2513 | 0.2352 | 0.2506 |
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| No log | 0.5333 | 32 | 0.2536 | 0.2414 | 0.2531 |
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| No log | 0.5667 | 34 | 0.2678 | 0.2304 | 0.2674 |
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| No log | 0.6 | 36 | 0.2837 | 0.2448 | 0.2832 |
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| No log | 0.6333 | 38 | 0.3006 | 0.2257 | 0.3000 |
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| No log | 0.6667 | 40 | 0.3090 | 0.2226 | 0.3084 |
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| No log | 0.7 | 42 | 0.2975 | 0.2250 | 0.2971 |
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| No log | 0.7333 | 44 | 0.2897 | 0.2572 | 0.2894 |
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| No log | 0.7667 | 46 | 0.2878 | 0.2779 | 0.2875 |
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| No log | 0.8 | 48 | 0.2796 | 0.2786 | 0.2794 |
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| No log | 0.8333 | 50 | 0.2697 | 0.2649 | 0.2695 |
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| No log | 0.8667 | 52 | 0.2639 | 0.2578 | 0.2637 |
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| No log | 0.9 | 54 | 0.2596 | 0.2436 | 0.2594 |
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| No log | 0.9333 | 56 | 0.2564 | 0.2443 | 0.2562 |
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| No log | 0.9667 | 58 | 0.2544 | 0.2373 | 0.2543 |
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| No log | 1.0 | 60 | 0.2541 | 0.2373 | 0.2539 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "aubmindlab/bert-base-arabertv02",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.44.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 64000
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}
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model.safetensors
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