Training in progress, epoch 1

README.md

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+---
+base_model: MarcBrun/ixambert-finetuned-squad-eu
+tags:
+- generated_from_trainer
+model-index:
+- name: NeurIXA_From_Ixambert-finetuned-squad-eu
+  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. -->
+
+# NeurIXA_From_Ixambert-finetuned-squad-eu
+
+This model is a fine-tuned version of [MarcBrun/ixambert-finetuned-squad-eu](https://huggingface.co/MarcBrun/ixambert-finetuned-squad-eu) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4553
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 3    | 4.5910          |
+| No log        | 2.0   | 6    | 3.6086          |
+| No log        | 3.0   | 9    | 3.0027          |
+| No log        | 4.0   | 12   | 2.4933          |
+| No log        | 5.0   | 15   | 2.0479          |
+| No log        | 6.0   | 18   | 1.6777          |
+| No log        | 7.0   | 21   | 1.3752          |
+| No log        | 8.0   | 24   | 1.1311          |
+| No log        | 9.0   | 27   | 0.9425          |
+| No log        | 10.0  | 30   | 0.7820          |
+| No log        | 11.0  | 33   | 0.6559          |
+| No log        | 12.0  | 36   | 0.5652          |
+| No log        | 13.0  | 39   | 0.5052          |
+| No log        | 14.0  | 42   | 0.4691          |
+| No log        | 15.0  | 45   | 0.4553          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "MarcBrun/ixambert-finetuned-squad-eu",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119099
+}

model.safetensors

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+oid sha256:967c596cc8ff01ec051e476f0dd8721fe466b91faa440b95d69499a1854c48bd
+size 707704648

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 4728