Vishnou/TinyBERT_SST2
Browse files- README.md +50 -0
- config.json +35 -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-finetuned-sst-2-english
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tags:
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- generated_from_trainer
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datasets:
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- sst2
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model-index:
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- name: distilbert_base_SST2
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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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# distilbert_base_SST2
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This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the sst2 dataset.
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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: 2
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.7
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
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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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"finetuning_task": "sst-2",
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"hidden_dim": 3072,
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"id2label": {
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"0": "NEGATIVE",
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"1": "POSITIVE"
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},
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"initializer_range": 0.02,
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"label2id": {
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"NEGATIVE": 0,
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"POSITIVE": 1
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},
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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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"output_past": true,
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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": "4.35.2",
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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:ecbf69953378c621f24bc6cd95619db56bf1472136e716d899bf2ed22c0b62f6
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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 sha256:27aef808f6b38fcdf5c03e8246c1a05d8697491901d53fbc3f02b6e1938017ed
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size 4600
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