Commit
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Training in progress epoch 0
Browse files
README.md
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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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- Train Loss: 0.
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- Validation Loss: 0.
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- Train Precision: 0.
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- Train Recall: 0.
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- Train F1: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.
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| 0.0541 | 0.0601 | 0.9210 | 0.9311 | 0.9260 | 0.9824 | 1 |
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| 0.0342 | 0.0595 | 0.9240 | 0.9328 | 0.9284 | 0.9830 | 2 |
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### Framework versions
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- Transformers 4.
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- TensorFlow 2.8.0-rc0
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- Datasets 1.
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- Tokenizers 0.11.0
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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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- Train Loss: 0.1901
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- Validation Loss: 0.0718
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- Train Precision: 0.9022
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- Train Recall: 0.9228
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- Train F1: 0.9124
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- Train Accuracy: 0.9801
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
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|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
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| 0.1901 | 0.0718 | 0.9022 | 0.9228 | 0.9124 | 0.9801 | 0 |
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### Framework versions
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- Transformers 4.19.0.dev0
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- TensorFlow 2.8.0-rc0
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- Datasets 2.1.1.dev0
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- Tokenizers 0.11.0
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config.json
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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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"transformers_version": "4.
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"vocab_size": 30522
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}
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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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"transformers_version": "4.19.0.dev0",
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"vocab_size": 30522
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}
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logs/train/events.out.tfevents.1651768451.matt-TRX40-AORUS-PRO-WIFI.89159.0.v2
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size 1609860
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logs/validation/events.out.tfevents.1651768488.matt-TRX40-AORUS-PRO-WIFI.89159.1.v2
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tf_model.h5
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