Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Thebisso09/final_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thebisso09/final_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Thebisso09/final_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Thebisso09/final_model") model = AutoModelForSequenceClassification.from_pretrained("Thebisso09/final_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- config.json +4 -4
- model.safetensors +1 -1
- runs/Jul26_15-03-04_63229e5130eb/events.out.tfevents.1722006184.63229e5130eb.2281.10 +3 -0
- runs/Jul26_15-04-51_63229e5130eb/events.out.tfevents.1722006291.63229e5130eb.2281.11 +3 -0
- runs/Jul26_15-07-32_63229e5130eb/events.out.tfevents.1722006452.63229e5130eb.2281.12 +3 -0
- training_args.bin +1 -1
config.json
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "
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"1": "
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"initializer_range": 0.02,
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"label2id": {
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "Refusal",
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"1": "Approval"
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},
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"initializer_range": 0.02,
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"label2id": {
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"Approval": 1,
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"Refusal": 0
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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model.safetensors
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runs/Jul26_15-03-04_63229e5130eb/events.out.tfevents.1722006184.63229e5130eb.2281.10
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runs/Jul26_15-04-51_63229e5130eb/events.out.tfevents.1722006291.63229e5130eb.2281.11
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runs/Jul26_15-07-32_63229e5130eb/events.out.tfevents.1722006452.63229e5130eb.2281.12
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training_args.bin
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size 5112
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