End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,87 @@
+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: output2
+  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. -->
+
+# output2
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0553
+- Accuracy: 0.7264
+- F1: 0.7307
+
+## 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: 64
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 2.5671        | 1.0   | 26   | 2.3849          | 0.2712   | 0.1157 |
+| 2.4121        | 2.0   | 52   | 2.2398          | 0.3438   | 0.2029 |
+| 2.2116        | 3.0   | 78   | 1.8608          | 0.4649   | 0.3680 |
+| 1.8806        | 4.0   | 104  | 1.5004          | 0.5763   | 0.5189 |
+| 1.5356        | 5.0   | 130  | 1.2657          | 0.6077   | 0.5605 |
+| 1.2656        | 6.0   | 156  | 1.0881          | 0.6852   | 0.6578 |
+| 1.0485        | 7.0   | 182  | 1.1436          | 0.6707   | 0.6556 |
+| 0.9568        | 8.0   | 208  | 1.0253          | 0.7143   | 0.6974 |
+| 0.813         | 9.0   | 234  | 0.9546          | 0.7070   | 0.6900 |
+| 0.7071        | 10.0  | 260  | 0.9333          | 0.7458   | 0.7287 |
+| 0.613         | 11.0  | 286  | 1.0258          | 0.7167   | 0.7038 |
+| 0.5596        | 12.0  | 312  | 0.9554          | 0.7119   | 0.6996 |
+| 0.5081        | 13.0  | 338  | 1.0385          | 0.7215   | 0.7147 |
+| 0.4615        | 14.0  | 364  | 0.9769          | 0.7264   | 0.7165 |
+| 0.4102        | 15.0  | 390  | 0.9845          | 0.7215   | 0.7213 |
+| 0.3453        | 16.0  | 416  | 0.9315          | 0.7361   | 0.7343 |
+| 0.3521        | 17.0  | 442  | 0.9916          | 0.7409   | 0.7439 |
+| 0.2984        | 18.0  | 468  | 1.0486          | 0.7264   | 0.7261 |
+| 0.2737        | 19.0  | 494  | 1.0325          | 0.7215   | 0.7239 |
+| 0.2611        | 20.0  | 520  | 1.0210          | 0.7337   | 0.7371 |
+| 0.2436        | 21.0  | 546  | 1.0508          | 0.7264   | 0.7283 |
+| 0.2451        | 22.0  | 572  | 1.0487          | 0.7312   | 0.7344 |
+| 0.2285        | 23.0  | 598  | 1.0434          | 0.7337   | 0.7366 |
+| 0.2072        | 24.0  | 624  | 1.0530          | 0.7288   | 0.7326 |
+| 0.2078        | 25.0  | 650  | 1.0553          | 0.7264   | 0.7307 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,63 @@
+{
+  "_name_or_path": "xlm-roberta-base",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "StoreService",
+    "1": "NEG-Size",
+    "2": "NEG-Price",
+    "3": "Quality",
+    "4": "O",
+    "5": "NEG-StoreService",
+    "6": "Size",
+    "7": "NEG-Appearance",
+    "8": "NEG-DeliveryTime",
+    "9": "Appearance",
+    "10": "NEG-Packaging",
+    "11": "Packaging",
+    "12": "NEG-Quality",
+    "13": "DeliveryTime",
+    "14": "Price"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Appearance": 9,
+    "DeliveryTime": 13,
+    "NEG-Appearance": 7,
+    "NEG-DeliveryTime": 8,
+    "NEG-Packaging": 10,
+    "NEG-Price": 2,
+    "NEG-Quality": 12,
+    "NEG-Size": 1,
+    "NEG-StoreService": 5,
+    "O": 4,
+    "Packaging": 11,
+    "Price": 14,
+    "Quality": 3,
+    "Size": 6,
+    "StoreService": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "clean_up_tokenization_spaces": true,
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+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

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