Uploading food not food text classifier model
Browse files- README.md +13 -13
- config.json +1 -1
- model.safetensors +1 -1
- tokenizer.json +14 -2
- training_args.bin +2 -2
README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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.
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- Accuracy: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.0012 | 5.0 | 35 | 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.0005
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- Accuracy: 1.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4242 | 1.0 | 7 | 0.1441 | 1.0 |
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| 0.0955 | 2.0 | 14 | 0.0094 | 1.0 |
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| 0.0074 | 3.0 | 21 | 0.0024 | 1.0 |
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| 0.0022 | 4.0 | 28 | 0.0012 | 1.0 |
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| 0.0012 | 5.0 | 35 | 0.0008 | 1.0 |
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| 0.0008 | 6.0 | 42 | 0.0006 | 1.0 |
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| 0.0007 | 7.0 | 49 | 0.0005 | 1.0 |
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| 0.0006 | 8.0 | 56 | 0.0005 | 1.0 |
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| 0.0006 | 9.0 | 63 | 0.0005 | 1.0 |
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| 0.0006 | 10.0 | 70 | 0.0005 | 1.0 |
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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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"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.
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"vocab_size": 30522
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}
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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": "4.42.4",
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"vocab_size": 30522
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}
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model.safetensors
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"added_tokens": [
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"truncation": {
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"direction": "Right",
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": {
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"strategy": "BatchLongest",
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"pad_type_id": 0,
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"pad_token": "[PAD]"
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training_args.bin
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