End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: XMLRoberta_70KURL
+  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. -->
+
+# XMLRoberta_70KURL
+
+This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0047
+- Accuracy: 0.9983
+- F1: 0.9983
+
+## 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: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2150
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.4651  | 200  | 0.4939          | 0.6704   | 0.5381 |
+| No log        | 0.9302  | 400  | 0.2605          | 0.9039   | 0.9028 |
+| No log        | 1.3953  | 600  | 0.2110          | 0.9241   | 0.9236 |
+| No log        | 1.8605  | 800  | 0.1589          | 0.9422   | 0.9425 |
+| 0.3715        | 2.3256  | 1000 | 0.1458          | 0.9488   | 0.9489 |
+| 0.3715        | 2.7907  | 1200 | 0.1282          | 0.9549   | 0.9549 |
+| 0.3715        | 3.2558  | 1400 | 0.1106          | 0.9616   | 0.9616 |
+| 0.3715        | 3.7209  | 1600 | 0.1033          | 0.9650   | 0.9651 |
+| 0.1516        | 4.1860  | 1800 | 0.0973          | 0.9657   | 0.9657 |
+| 0.1516        | 4.6512  | 2000 | 0.0872          | 0.9706   | 0.9708 |
+| 0.1516        | 5.1163  | 2200 | 0.0743          | 0.9740   | 0.9741 |
+| 0.1516        | 5.5814  | 2400 | 0.0702          | 0.9759   | 0.9760 |
+| 0.1056        | 6.0465  | 2600 | 0.0651          | 0.9780   | 0.9781 |
+| 0.1056        | 6.5116  | 2800 | 0.0565          | 0.9805   | 0.9806 |
+| 0.1056        | 6.9767  | 3000 | 0.0550          | 0.9804   | 0.9805 |
+| 0.1056        | 7.4419  | 3200 | 0.0516          | 0.9837   | 0.9837 |
+| 0.1056        | 7.9070  | 3400 | 0.0649          | 0.9782   | 0.9784 |
+| 0.0776        | 8.3721  | 3600 | 0.0371          | 0.9878   | 0.9878 |
+| 0.0776        | 8.8372  | 3800 | 0.0333          | 0.9887   | 0.9887 |
+| 0.0776        | 9.3023  | 4000 | 0.0317          | 0.9895   | 0.9895 |
+| 0.0776        | 9.7674  | 4200 | 0.0296          | 0.9899   | 0.9900 |
+| 0.0581        | 10.2326 | 4400 | 0.0259          | 0.9919   | 0.9919 |
+| 0.0581        | 10.6977 | 4600 | 0.0235          | 0.9923   | 0.9923 |
+| 0.0581        | 11.1628 | 4800 | 0.0204          | 0.9929   | 0.9929 |
+| 0.0581        | 11.6279 | 5000 | 0.0172          | 0.9941   | 0.9941 |
+| 0.042         | 12.0930 | 5200 | 0.0219          | 0.9929   | 0.9929 |
+| 0.042         | 12.5581 | 5400 | 0.0147          | 0.9953   | 0.9953 |
+| 0.042         | 13.0233 | 5600 | 0.0141          | 0.9952   | 0.9952 |
+| 0.042         | 13.4884 | 5800 | 0.0108          | 0.9964   | 0.9964 |
+| 0.042         | 13.9535 | 6000 | 0.0094          | 0.9967   | 0.9967 |
+| 0.0314        | 14.4186 | 6200 | 0.0087          | 0.9969   | 0.9969 |
+| 0.0314        | 14.8837 | 6400 | 0.0083          | 0.9971   | 0.9971 |
+| 0.0314        | 15.3488 | 6600 | 0.0077          | 0.9973   | 0.9973 |
+| 0.0314        | 15.8140 | 6800 | 0.0086          | 0.9972   | 0.9972 |
+| 0.0246        | 16.2791 | 7000 | 0.0066          | 0.9979   | 0.9979 |
+| 0.0246        | 16.7442 | 7200 | 0.0061          | 0.9977   | 0.9977 |
+| 0.0246        | 17.2093 | 7400 | 0.0065          | 0.9979   | 0.9979 |
+| 0.0246        | 17.6744 | 7600 | 0.0061          | 0.9980   | 0.9980 |
+| 0.0183        | 18.1395 | 7800 | 0.0052          | 0.9981   | 0.9981 |
+| 0.0183        | 18.6047 | 8000 | 0.0048          | 0.9983   | 0.9983 |
+| 0.0183        | 19.0698 | 8200 | 0.0047          | 0.9983   | 0.9983 |
+| 0.0183        | 19.5349 | 8400 | 0.0047          | 0.9983   | 0.9983 |
+| 0.0145        | 20.0    | 8600 | 0.0047          | 0.9983   | 0.9983 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "FacebookAI/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,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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
+}

model.safetensors

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+size 1112205008

training_args.bin

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