Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use thom-ndis/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thom-ndis/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thom-ndis/trainer_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thom-ndis/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("thom-ndis/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +13 -13
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) 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: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 30 | 0.
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| No log | 2.0 | 60 | 0.
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| No log | 3.0 | 90 | 0.
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| No log | 4.0 | 120 | 0.
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| No log | 5.0 | 150 | 0.
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| No log | 6.0 | 180 | 0.
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| No log | 7.0 | 210 | 0.
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| No log | 8.0 | 240 | 0.
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| No log | 9.0 | 270 | 0.
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| No log | 10.0 | 300 | 0.
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### Framework versions
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This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2064
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- Accuracy: 0.9119
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 30 | 0.3752 | 0.8742 |
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| No log | 2.0 | 60 | 0.3463 | 0.8742 |
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| No log | 3.0 | 90 | 0.2804 | 0.8742 |
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| No log | 4.0 | 120 | 0.2925 | 0.8805 |
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| No log | 5.0 | 150 | 0.2599 | 0.8868 |
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| No log | 6.0 | 180 | 0.2527 | 0.8931 |
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| No log | 7.0 | 210 | 0.2176 | 0.8994 |
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| No log | 8.0 | 240 | 0.2105 | 0.8994 |
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| No log | 9.0 | 270 | 0.2096 | 0.9119 |
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| No log | 10.0 | 300 | 0.2064 | 0.9119 |
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### Framework versions
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model.safetensors
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training_args.bin
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