Training complete

README.md

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+---
+license: mit
+base_model: camembert-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: relatives_psr_seq-cbert_finetuned
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# relatives_psr_seq-cbert_finetuned
+
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8671
+- Precision: 0.9512
+- Recall: 0.2004
+- F1: 0.1730
+- Accuracy: 0.7559
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 49   | 1.0447          | 0.9511    | 0.2    | 0.1722 | 0.7557   |
+| No log        | 2.0   | 98   | 0.9864          | 0.9511    | 0.2    | 0.1722 | 0.7557   |
+| No log        | 3.0   | 147  | 0.9540          | 0.9511    | 0.2    | 0.1722 | 0.7557   |
+| No log        | 4.0   | 196  | 0.8967          | 0.9511    | 0.2    | 0.1722 | 0.7557   |
+| No log        | 5.0   | 245  | 0.8671          | 0.9512    | 0.2004 | 0.1730 | 0.7559   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

added_tokens.json

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config.json

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+{
+  "_name_or_path": "camembert-base",
+  "architectures": [
+    "CamembertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 5,
+  "classifier_dropout": null,
+  "eos_token_id": 6,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6"
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+  "intermediate_size": 3072,
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+    "LABEL_5": 5,
+    "LABEL_6": 6
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "camembert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32005
+}

model.safetensors

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runs/Jun04_21-50-14_8aee68de80dd/events.out.tfevents.1717537848.8aee68de80dd.2906.0

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sentencepiece.bpe.model

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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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