Training complete

README.md

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+---
+base_model: camembert/camembert-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: relatives_psr-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-cbert_finetuned
+
+This model is a fine-tuned version of [camembert/camembert-base](https://huggingface.co/camembert/camembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2415
+- Precision: 0.9906
+- Recall: 0.3333
+- F1: 0.3286
+- Accuracy: 0.9718
+
+## 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   | 0.3068          | 0.9906    | 0.3333 | 0.3286 | 0.9718   |
+| No log        | 2.0   | 98   | 0.2658          | 0.9906    | 0.3333 | 0.3286 | 0.9718   |
+| No log        | 3.0   | 147  | 0.2512          | 0.9906    | 0.3333 | 0.3286 | 0.9718   |
+| No log        | 4.0   | 196  | 0.2439          | 0.9906    | 0.3333 | 0.3286 | 0.9718   |
+| No log        | 5.0   | 245  | 0.2415          | 0.9906    | 0.3333 | 0.3286 | 0.9718   |
+
+
+### 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/camembert-base",
+  "architectures": [
+    "CamembertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "eos_token_ids": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "DET",
+    "2": "APPO",
+    "3": "AMBIGUE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AMBIGUE": 3,
+    "APPO": 2,
+    "DET": 1,
+    "O": 0
+  },
+  "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": 0,
+  "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_22-22-34_8aee68de80dd/events.out.tfevents.1717539832.8aee68de80dd.2906.3

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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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