End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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 +1,64 @@
+---
+license: mit
+base_model: Ariffiq99/CRAB_COPA_KUCI_xlm_roberta_base_finetuned
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: e_care_CRAB_COPA_KUCI_xlm_roberta_large_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. -->
+
+# e_care_CRAB_COPA_KUCI_xlm_roberta_large_finetuned
+
+This model is a fine-tuned version of [Ariffiq99/CRAB_COPA_KUCI_xlm_roberta_base_finetuned](https://huggingface.co/Ariffiq99/CRAB_COPA_KUCI_xlm_roberta_base_finetuned) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6612
+- F1: 0.7191
+
+## 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: 1e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.6387        | 1.0   | 933  | 0.5402          | 0.7022 |
+| 0.514         | 2.0   | 1866 | 0.5384          | 0.7097 |
+| 0.4463        | 3.0   | 2799 | 0.5484          | 0.7177 |
+| 0.3786        | 4.0   | 3732 | 0.5949          | 0.7168 |
+| 0.3259        | 5.0   | 4665 | 0.6612          | 0.7191 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

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+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

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tokenizer_config.json

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