Instructions to use Shaer-AI/ARBERT-base-submeter-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaer-AI/ARBERT-base-submeter-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shaer-AI/ARBERT-base-submeter-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier") model = AutoModelForSequenceClassification.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Complete ARBERT sub-meter training
Browse files- all_results.json +3 -3
- train_results.json +3 -3
- trainer_state.json +5 -5
- training_args.bin +1 -1
all_results.json
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"epoch": 3.0,
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"total_flos": 7.302829698913882e+16,
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"train_loss": 0.0,
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"train_runtime": 0.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"epoch": 3.0,
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"total_flos": 7.302829698913882e+16,
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"train_loss": 0.0,
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"train_runtime": 0.0011,
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"train_samples_per_second": 3968183378.26,
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"train_steps_per_second": 15502748.175
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}
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train_results.json
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"epoch": 3.0,
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"total_flos": 7.302829698913882e+16,
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"train_loss": 0.0,
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"train_runtime": 0.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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"epoch": 3.0,
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"total_flos": 7.302829698913882e+16,
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"train_loss": 0.0,
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"train_runtime": 0.0011,
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"train_samples_per_second": 3968183378.26,
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"train_steps_per_second": 15502748.175
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}
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trainer_state.json
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{
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"best_global_step": 17000,
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"best_metric":
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"best_model_checkpoint":
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 17346,
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"step": 17346,
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"total_flos": 7.302829698913882e+16,
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"train_loss": 0.0,
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"train_runtime": 0.
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"train_samples_per_second":
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"train_steps_per_second":
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}
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],
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"logging_steps": 500,
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{
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"best_global_step": 17000,
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 17346,
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"step": 17346,
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"total_flos": 7.302829698913882e+16,
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"train_loss": 0.0,
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"train_runtime": 0.0011,
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"train_samples_per_second": 3968183378.26,
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"train_steps_per_second": 15502748.175
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}
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],
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"logging_steps": 500,
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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:
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size 5969
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version https://git-lfs.github.com/spec/v1
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oid sha256:7391b4561150a0fb5f32f255054cc3c25e11bac3c41461362aa1a635b289593a
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size 5969
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