Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use matiashoyl/modernbert-match-user-50149 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matiashoyl/modernbert-match-user-50149 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="matiashoyl/modernbert-match-user-50149")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("matiashoyl/modernbert-match-user-50149") model = AutoModelForSequenceClassification.from_pretrained("matiashoyl/modernbert-match-user-50149", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 7
Browse files- all_results.json +21 -0
- confusion_matrix.png +0 -0
- logs/events.out.tfevents.1740978511.mac.lan.55690.79 +3 -0
- logs/events.out.tfevents.1741012110.mac.lan.55690.100 +3 -0
- model.safetensors +1 -1
- test_results.json +16 -0
- train_results.json +8 -0
- trainer_state.json +363 -0
all_results.json
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{
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"test_accuracy": 0.4205607476635514,
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"test_f1_class_1": 0.09090909090909091,
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"test_f1_class_4": 0.5979381443298969,
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"test_loss": 1.3978204727172852,
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"test_precision": 0.37640186915887847,
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"test_recall": 0.4205607476635514,
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"test_runtime": 5.415,
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"test_samples_per_second": 19.76,
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"test_steps_per_second": 4.986,
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"total_flos": 873039758653440.0,
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"train_loss": 1.1469601062228003,
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"train_runtime": 498.0507,
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"train_samples_per_second": 8.573,
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"train_steps_per_second": 2.148
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}
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confusion_matrix.png
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logs/events.out.tfevents.1740978511.mac.lan.55690.79
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logs/events.out.tfevents.1741012110.mac.lan.55690.100
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size 7807
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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test_results.json
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train_results.json
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trainer_state.json
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