End of training
Browse files- README.md +61 -0
- config.json +36 -0
- model.safetensors +3 -0
- runs/Aug04_14-09-36_635160a05d01/events.out.tfevents.1722780578.635160a05d01.13463.3 +3 -0
- runs/Aug04_14-09-36_635160a05d01/events.out.tfevents.1722780699.635160a05d01.13463.4 +3 -0
- runs/Aug04_15-14-47_635160a05d01/events.out.tfevents.1722784685.635160a05d01.21589.0 +3 -0
- runs/Aug04_15-14-47_635160a05d01/events.out.tfevents.1722784782.635160a05d01.21589.1 +3 -0
- runs/Aug04_15-14-47_635160a05d01/events.out.tfevents.1722785060.635160a05d01.21589.2 +3 -0
- runs/Aug04_15-14-47_635160a05d01/events.out.tfevents.1722785176.635160a05d01.21589.3 +3 -0
- runs/Aug04_15-14-47_635160a05d01/events.out.tfevents.1722785217.635160a05d01.21589.4 +3 -0
- runs/Aug04_15-32-53_635160a05d01/events.out.tfevents.1722785583.635160a05d01.21589.5 +3 -0
- runs/Aug04_15-34-43_635160a05d01/events.out.tfevents.1722785695.635160a05d01.21589.6 +3 -0
- runs/Aug04_15-36-49_635160a05d01/events.out.tfevents.1722785831.635160a05d01.21589.7 +3 -0
- runs/Aug04_15-36-49_635160a05d01/events.out.tfevents.1722785851.635160a05d01.21589.8 +3 -0
- runs/Aug04_15-38-33_635160a05d01/events.out.tfevents.1722785938.635160a05d01.21589.9 +3 -0
- runs/Aug04_15-40-07_635160a05d01/events.out.tfevents.1722786019.635160a05d01.21589.10 +3 -0
- runs/Aug04_15-40-54_635160a05d01/events.out.tfevents.1722786058.635160a05d01.21589.11 +3 -0
- runs/Aug04_15-40-54_635160a05d01/events.out.tfevents.1722789077.635160a05d01.21589.12 +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: HooshvareLab/bert-base-parsbert-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: test_trainer
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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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# test_trainer
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This model is a fine-tuned version of [HooshvareLab/bert-base-parsbert-uncased](https://huggingface.co/HooshvareLab/bert-base-parsbert-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4432
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- Accuracy: 0.8804
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 138 | 0.3028 | 0.8696 |
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| No log | 2.0 | 276 | 0.3404 | 0.8732 |
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| No log | 3.0 | 414 | 0.4432 | 0.8804 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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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": "HooshvareLab/bert-base-parsbert-uncased",
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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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"1": "LABEL_1",
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"2": "LABEL_2"
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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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"LABEL_1": 1,
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"LABEL_2": 2
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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": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 100000
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}
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model.safetensors
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