Commit
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Distilbert
Browse files- README.md +68 -0
- config.json +25 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: distilbert-base-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: results
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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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# results
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5597
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- Accuracy: 0.7971
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 7
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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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| 0.3591 | 1.0 | 199 | 0.5374 | 0.7866 |
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| 0.4795 | 2.0 | 399 | 0.4847 | 0.7847 |
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| 0.3843 | 3.0 | 598 | 0.4738 | 0.7866 |
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| 0.3014 | 4.0 | 798 | 0.5597 | 0.7971 |
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| 0.2365 | 5.0 | 997 | 0.7518 | 0.7395 |
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| 0.1786 | 6.0 | 1197 | 0.7485 | 0.7847 |
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| 0.0718 | 6.98 | 1393 | 0.9276 | 0.7835 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:41935a7084121ce0eb5fc648b4da6867f6a14ee2ce1e2d412a45507c6cb3de65
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size 267832560
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d0130619854dee16383fa8f60881696a0cd9d25ccd948abf514e9e682141f3f
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size 4664
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