salbatarni
commited on
Commit
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Parent(s):
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Training in progress, step 20
Browse files- README.md +72 -0
- config.json +32 -0
- model.safetensors +3 -0
- runs/Aug27_16-09-30_353807a3cce0/events.out.tfevents.1724774972.353807a3cce0.22.0 +3 -0
- runs/Aug27_16-10-58_353807a3cce0/events.out.tfevents.1724775059.353807a3cce0.22.1 +3 -0
- runs/Aug27_16-12-28_353807a3cce0/events.out.tfevents.1724775150.353807a3cce0.22.2 +3 -0
- runs/Aug27_16-14-05_353807a3cce0/events.out.tfevents.1724775246.353807a3cce0.22.3 +3 -0
- runs/Aug27_16-15-34_353807a3cce0/events.out.tfevents.1724775336.353807a3cce0.22.4 +3 -0
- runs/Aug27_16-16-31_353807a3cce0/events.out.tfevents.1724775392.353807a3cce0.22.5 +3 -0
- runs/Aug27_16-17-32_353807a3cce0/events.out.tfevents.1724775453.353807a3cce0.22.6 +3 -0
- runs/Aug27_16-18-18_353807a3cce0/events.out.tfevents.1724775499.353807a3cce0.22.7 +3 -0
- runs/Aug27_16-19-17_353807a3cce0/events.out.tfevents.1724775559.353807a3cce0.22.8 +3 -0
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- runs/Aug27_16-23-23_353807a3cce0/events.out.tfevents.1724775805.353807a3cce0.22.11 +3 -0
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- 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_vocabulary_task3_fold1
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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_vocabulary_task3_fold1
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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: 0.2325
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- Qwk: 0.2857
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- Mse: 0.2437
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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 | 0.6667 | 2 | 3.6484 | 0.0328 | 3.6411 |
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| No log | 1.3333 | 4 | 1.3150 | 0.0541 | 1.3226 |
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| No log | 2.0 | 6 | 0.2810 | 0.0 | 0.2941 |
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| No log | 2.6667 | 8 | 0.2059 | 0.0 | 0.2199 |
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| No log | 3.3333 | 10 | 0.2435 | 0.0 | 0.2582 |
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| No log | 4.0 | 12 | 0.2557 | 0.0 | 0.2715 |
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| No log | 4.6667 | 14 | 0.2138 | 0.0 | 0.2290 |
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| No log | 5.3333 | 16 | 0.2031 | 0.0 | 0.2168 |
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| No log | 6.0 | 18 | 0.2284 | 0.0 | 0.2412 |
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| No log | 6.6667 | 20 | 0.2060 | 0.2857 | 0.2178 |
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| No log | 7.3333 | 22 | 0.2168 | 0.2857 | 0.2280 |
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| No log | 8.0 | 24 | 0.2244 | 0.2857 | 0.2354 |
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| No log | 8.6667 | 26 | 0.2313 | 0.2857 | 0.2422 |
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| No log | 9.3333 | 28 | 0.2311 | 0.2857 | 0.2422 |
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| No log | 10.0 | 30 | 0.2325 | 0.2857 | 0.2437 |
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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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oid sha256:35987fc20e8b41cc1c6a9b788925d81f47f14834592fdef3549cb20adfbc438a
|
3 |
+
size 8893
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:01cea6ae075c58f62146e31503c3c117327fdd478a9d9420bcf25392c9161a8f
|
3 |
+
size 5240
|