scionk commited on
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Training completed!

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: xlm-roberta-base
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - xtreme
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: xlm-roberta-base-finetuned-panx-fr
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+ results:
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+ - task:
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+ name: Token Classification
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+ type: token-classification
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+ dataset:
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+ name: xtreme
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+ type: xtreme
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+ config: PAN-X.fr
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+ split: validation
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+ args: PAN-X.fr
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+ metrics:
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+ - name: F1
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+ type: f1
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+ value: 0.8422999327505043
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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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+ # xlm-roberta-base-finetuned-panx-fr
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+
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+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the xtreme dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2829
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+ - F1: 0.8423
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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: 5e-05
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+ - train_batch_size: 24
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+ - eval_batch_size: 24
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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 | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.5667 | 1.0 | 191 | 0.3388 | 0.7798 |
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+ | 0.2618 | 2.0 | 382 | 0.2810 | 0.8241 |
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+ | 0.1686 | 3.0 | 573 | 0.2829 | 0.8423 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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+ {
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+ "_name_or_path": "xlm-roberta-base",
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+ "architectures": [
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+ "XLMRobertaForTokenClassification"
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+ ],
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "-100": "IGN",
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+ "0": "O",
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+ "1": "B-PER",
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+ "2": "I-PER",
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+ },
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "xlm-roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 250002
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+ }
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