salbatarni
commited on
Commit
•
e77312d
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Parent(s):
e343476
Training in progress, step 40
Browse files- README.md +77 -0
- config.json +32 -0
- model.safetensors +3 -0
- runs/Aug29_05-37-12_0bdfdf23bcd7/events.out.tfevents.1724909835.0bdfdf23bcd7.23.0 +3 -0
- runs/Aug29_05-38-40_0bdfdf23bcd7/events.out.tfevents.1724909921.0bdfdf23bcd7.23.1 +3 -0
- runs/Aug29_05-40-17_0bdfdf23bcd7/events.out.tfevents.1724910018.0bdfdf23bcd7.23.2 +3 -0
- runs/Aug29_05-41-50_0bdfdf23bcd7/events.out.tfevents.1724910111.0bdfdf23bcd7.23.3 +3 -0
- runs/Aug29_05-43-25_0bdfdf23bcd7/events.out.tfevents.1724910207.0bdfdf23bcd7.23.4 +3 -0
- runs/Aug29_05-44-20_0bdfdf23bcd7/events.out.tfevents.1724910261.0bdfdf23bcd7.23.5 +3 -0
- runs/Aug29_05-45-22_0bdfdf23bcd7/events.out.tfevents.1724910324.0bdfdf23bcd7.23.6 +3 -0
- runs/Aug29_05-46-14_0bdfdf23bcd7/events.out.tfevents.1724910375.0bdfdf23bcd7.23.7 +3 -0
- runs/Aug29_05-47-02_0bdfdf23bcd7/events.out.tfevents.1724910423.0bdfdf23bcd7.23.8 +3 -0
- runs/Aug29_05-48-33_0bdfdf23bcd7/events.out.tfevents.1724910514.0bdfdf23bcd7.23.9 +3 -0
- runs/Aug29_05-50-00_0bdfdf23bcd7/events.out.tfevents.1724910601.0bdfdf23bcd7.23.10 +3 -0
- runs/Aug29_05-51-03_0bdfdf23bcd7/events.out.tfevents.1724910665.0bdfdf23bcd7.23.11 +3 -0
- runs/Aug29_05-52-19_0bdfdf23bcd7/events.out.tfevents.1724910740.0bdfdf23bcd7.23.12 +3 -0
- runs/Aug29_05-53-50_0bdfdf23bcd7/events.out.tfevents.1724910831.0bdfdf23bcd7.23.13 +3 -0
- runs/Aug29_05-55-19_0bdfdf23bcd7/events.out.tfevents.1724910920.0bdfdf23bcd7.23.14 +3 -0
- runs/Aug29_05-56-57_0bdfdf23bcd7/events.out.tfevents.1724911018.0bdfdf23bcd7.23.15 +3 -0
- runs/Aug29_05-58-34_0bdfdf23bcd7/events.out.tfevents.1724911116.0bdfdf23bcd7.23.16 +3 -0
- runs/Aug29_06-00-05_0bdfdf23bcd7/events.out.tfevents.1724911206.0bdfdf23bcd7.23.17 +3 -0
- runs/Aug29_06-01-39_0bdfdf23bcd7/events.out.tfevents.1724911300.0bdfdf23bcd7.23.18 +3 -0
- runs/Aug29_06-02-42_0bdfdf23bcd7/events.out.tfevents.1724911363.0bdfdf23bcd7.23.19 +3 -0
- runs/Aug29_06-03-51_0bdfdf23bcd7/events.out.tfevents.1724911432.0bdfdf23bcd7.23.20 +3 -0
- runs/Aug29_06-04-44_0bdfdf23bcd7/events.out.tfevents.1724911485.0bdfdf23bcd7.23.21 +3 -0
- runs/Aug29_06-05-40_0bdfdf23bcd7/events.out.tfevents.1724911542.0bdfdf23bcd7.23.22 +3 -0
- runs/Aug29_06-07-10_0bdfdf23bcd7/events.out.tfevents.1724911631.0bdfdf23bcd7.23.23 +3 -0
- runs/Aug29_06-08-38_0bdfdf23bcd7/events.out.tfevents.1724911719.0bdfdf23bcd7.23.24 +3 -0
- runs/Aug29_06-09-52_0bdfdf23bcd7/events.out.tfevents.1724911793.0bdfdf23bcd7.23.25 +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_baseline_development_task6_fold0
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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_baseline_development_task6_fold0
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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: 0.7890
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- Qwk: 0.4503
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- Mse: 0.7890
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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: 10
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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 | 0.5 | 2 | 1.5011 | 0.2195 | 1.5011 |
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| No log | 1.0 | 4 | 1.0235 | 0.3558 | 1.0235 |
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| No log | 1.5 | 6 | 1.1605 | 0.3913 | 1.1605 |
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| No log | 2.0 | 8 | 1.0269 | 0.3558 | 1.0269 |
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| No log | 2.5 | 10 | 0.9070 | 0.3558 | 0.9070 |
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| No log | 3.0 | 12 | 0.8423 | 0.3913 | 0.8423 |
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| No log | 3.5 | 14 | 0.7993 | 0.3558 | 0.7993 |
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| No log | 4.0 | 16 | 0.7964 | 0.4740 | 0.7964 |
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| No log | 4.5 | 18 | 0.8073 | 0.4740 | 0.8073 |
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| No log | 5.0 | 20 | 0.8740 | 0.6091 | 0.8740 |
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| No log | 5.5 | 22 | 0.8159 | 0.6056 | 0.8159 |
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| No log | 6.0 | 24 | 0.8260 | 0.6056 | 0.8260 |
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| No log | 6.5 | 26 | 0.8604 | 0.6056 | 0.8604 |
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| No log | 7.0 | 28 | 0.8853 | 0.6056 | 0.8853 |
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| No log | 7.5 | 30 | 0.8139 | 0.5172 | 0.8139 |
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| No log | 8.0 | 32 | 0.7491 | 0.4503 | 0.7491 |
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| No log | 8.5 | 34 | 0.7564 | 0.4503 | 0.7564 |
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| No log | 9.0 | 36 | 0.7842 | 0.4503 | 0.7842 |
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| No log | 9.5 | 38 | 0.7831 | 0.4503 | 0.7831 |
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| No log | 10.0 | 40 | 0.7890 | 0.4503 | 0.7890 |
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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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