Question Answering
Transformers
Safetensors
French
roberta
Inference Endpoints
bourdoiscatie commited on
Commit
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Training complete

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: mit
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+ base_model: almanach/camembertv2-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - french_qa
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+ model-index:
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+ - name: camembertv2-base-QA
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # camembertv2-base-QA
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+
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+ This model is a fine-tuned version of [almanach/camembertv2-base](https://huggingface.co/almanach/camembertv2-base) on the french_qa dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5647
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.4453 | 1.0 | 27790 | 1.4057 |
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+ | 1.3028 | 2.0 | 55580 | 1.5300 |
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+ | 1.1695 | 3.0 | 83370 | 1.5647 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.1
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.20.1
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tokenizer.json ADDED
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