End of training

README.md

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+---
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: distilroberta-base_task2-2_macrof1
+  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. -->
+
+# distilroberta-base_task2-2_macrof1
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6203
+- Macro F1: 0.3090
+
+## 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-06
+- train_batch_size: 10
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Macro F1 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6541        | 1.0   | 553  | 0.6474          | 0.2768   |
+| 0.7044        | 2.0   | 1106 | 0.6376          | 0.2768   |
+| 0.6615        | 3.0   | 1659 | 0.6390          | 0.2768   |
+| 0.6289        | 4.0   | 2212 | 0.6355          | 0.2768   |
+| 0.5047        | 5.0   | 2765 | 0.6372          | 0.2841   |
+| 0.5894        | 6.0   | 3318 | 0.6296          | 0.2983   |
+| 0.5401        | 7.0   | 3871 | 0.6203          | 0.3090   |
+| 0.7215        | 8.0   | 4424 | 0.6263          | 0.3080   |
+| 0.6368        | 9.0   | 4977 | 0.6370          | 0.3033   |
+| 0.4872        | 10.0  | 5530 | 0.6349          | 0.3024   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "distilroberta-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "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": "None",
+    "1": "Support",
+    "2": "Attack"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

logs/events.out.tfevents.1716966334.567077a2e509.3297.0

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special_tokens_map.json

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+    "single_word": false
+  },
+  "pad_token": "<pad>",
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+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+  "errors": "replace",
+  "mask_token": "<mask>",
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+  "pad_token": "<pad>",
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+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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