End of training

README.md

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+---
+base_model: dbmdz/electra-base-italian-xxl-cased-discriminator
+library_name: peft
+license: mit
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+tags:
+- generated_from_trainer
+model-index:
+- name: electra-base-italian-xxl-cased-discriminator-finetuned-ner
+  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. -->
+
+# electra-base-italian-xxl-cased-discriminator-finetuned-ner
+
+This model is a fine-tuned version of [dbmdz/electra-base-italian-xxl-cased-discriminator](https://huggingface.co/dbmdz/electra-base-italian-xxl-cased-discriminator) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1508
+- Precision: 0.8988
+- Recall: 0.9400
+- F1: 0.9189
+- Accuracy: 0.9659
+
+## 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: 0.0002
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2868        | 1.0   | 1167  | 0.2063          | 0.7612    | 0.8782 | 0.8155 | 0.9346   |
+| 0.1873        | 2.0   | 2334  | 0.1440          | 0.8623    | 0.9041 | 0.8827 | 0.9553   |
+| 0.1339        | 3.0   | 3501  | 0.1376          | 0.8617    | 0.9308 | 0.8949 | 0.9576   |
+| 0.1025        | 4.0   | 4668  | 0.1355          | 0.8649    | 0.9369 | 0.8995 | 0.9584   |
+| 0.0844        | 5.0   | 5835  | 0.1325          | 0.8817    | 0.9400 | 0.9099 | 0.9617   |
+| 0.0763        | 6.0   | 7002  | 0.1433          | 0.8922    | 0.9317 | 0.9115 | 0.9643   |
+| 0.0601        | 7.0   | 8169  | 0.1479          | 0.8964    | 0.9286 | 0.9122 | 0.9640   |
+| 0.0507        | 8.0   | 9336  | 0.1496          | 0.8915    | 0.9403 | 0.9152 | 0.9637   |
+| 0.0408        | 9.0   | 10503 | 0.1501          | 0.8977    | 0.9350 | 0.9160 | 0.9643   |
+| 0.0339        | 10.0  | 11670 | 0.1508          | 0.8988    | 0.9400 | 0.9189 | 0.9659   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "dbmdz/electra-base-italian-xxl-cased-discriminator",
+  "bias": "all",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "query",
+    "value"
+  ],
+  "task_type": "TOKEN_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:07cc9063eace499441eabc809b40b05223470621857c8d39ec38aa226e5bcc6a
+size 9930820

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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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "102": {
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
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+    "103": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "104": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "ElectraTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+size 5176