Instructions to use kevinzyz/chinese-roberta-wwm-ext-finetuned-MC-hyper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinzyz/chinese-roberta-wwm-ext-finetuned-MC-hyper with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("kevinzyz/chinese-roberta-wwm-ext-finetuned-MC-hyper") model = AutoModelForMultipleChoice.from_pretrained("kevinzyz/chinese-roberta-wwm-ext-finetuned-MC-hyper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- pytorch_model.bin +1 -1
- train_results.json +8 -0
- trainer_state.json +2128 -0
all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.1940000057220459,
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"eval_loss": 3.9567816257476807,
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"eval_runtime": 3.1838,
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"eval_samples": 500,
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| 7 |
+
"eval_samples_per_second": 157.047,
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| 8 |
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"eval_steps_per_second": 5.025,
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| 9 |
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"train_loss": 0.06812760998129988,
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"train_runtime": 4390.0209,
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"train_samples": 44000,
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| 12 |
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"train_samples_per_second": 50.114,
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"train_steps_per_second": 1.566
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.1940000057220459,
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"eval_loss": 3.9567816257476807,
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| 5 |
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"eval_runtime": 3.1838,
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| 6 |
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"eval_samples": 500,
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"eval_samples_per_second": 157.047,
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"eval_steps_per_second": 5.025
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 409163017
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:99b9a868425d1e801e4254c15e16760d14b51e3c5d20ed2298d7254f770052fe
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size 409163017
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.06812760998129988,
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+
"train_runtime": 4390.0209,
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| 5 |
+
"train_samples": 44000,
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"train_samples_per_second": 50.114,
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"train_steps_per_second": 1.566
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}
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trainer_state.json
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