End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: studio-ousia/luke-japanese-base-lite
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: b50f9cf6b7a8ee8aa912970e684a8d27
+  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. -->
+
+# b50f9cf6b7a8ee8aa912970e684a8d27
+
+This model is a fine-tuned version of [studio-ousia/luke-japanese-base-lite](https://huggingface.co/studio-ousia/luke-japanese-base-lite) on the nyu-mll/glue [qqp] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6583
+- Data Size: 1.0
+- Epoch Runtime: 985.0528
+- Accuracy: 0.6320
+- F1 Macro: 0.3872
+- Rouge1: 0.6318
+- Rouge2: 0.0
+- Rougel: 0.6319
+- Rougelsum: 0.6317
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:------:|:---------------:|:---------:|:-------------:|:--------:|:--------:|:------:|:------:|:------:|:---------:|
+| No log        | 0     | 0      | 0.6585          | 0         | 33.6943       | 0.6320   | 0.3872   | 0.6318 | 0.0    | 0.6319 | 0.6317    |
+| 0.6518        | 1     | 11370  | 0.5219          | 0.0078    | 40.8873       | 0.7225   | 0.6904   | 0.7226 | 0.0    | 0.7225 | 0.7224    |
+| 0.5324        | 2     | 22740  | 0.5142          | 0.0156    | 48.4858       | 0.7410   | 0.7083   | 0.7412 | 0.0    | 0.7411 | 0.7409    |
+| 0.496         | 3     | 34110  | 0.4727          | 0.0312    | 64.3654       | 0.7564   | 0.7510   | 0.7566 | 0.0    | 0.7564 | 0.7563    |
+| 0.4957        | 4     | 45480  | 0.4385          | 0.0625    | 96.5501       | 0.7846   | 0.7741   | 0.7846 | 0.0    | 0.7845 | 0.7846    |
+| 0.5043        | 5     | 56850  | 0.6300          | 0.125     | 157.1827      | 0.7117   | 0.7116   | 0.7117 | 0.0    | 0.7116 | 0.7116    |
+| 0.452         | 6     | 68220  | 0.4376          | 0.25      | 278.5063      | 0.7921   | 0.7842   | 0.7922 | 0.0    | 0.7921 | 0.7921    |
+| 0.6572        | 7     | 79590  | 0.6581          | 0.5       | 514.1366      | 0.6320   | 0.3872   | 0.6318 | 0.0    | 0.6319 | 0.6317    |
+| 0.6544        | 8.0   | 90960  | 0.6581          | 1.0       | 980.6688      | 0.6320   | 0.3872   | 0.6318 | 0.0    | 0.6319 | 0.6317    |
+| 0.6529        | 9.0   | 102330 | 0.6614          | 1.0       | 972.9140      | 0.6320   | 0.3872   | 0.6318 | 0.0    | 0.6319 | 0.6317    |
+| 0.6631        | 10.0  | 113700 | 0.6583          | 1.0       | 985.0528      | 0.6320   | 0.3872   | 0.6318 | 0.0    | 0.6319 | 0.6317    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

added_tokens.json

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+{
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+  "<ent>": 32770
+}

config.json

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+{
+  "architectures": [
+    "LukeForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bert_model_name": "models/luke-japanese/hf_xlm_roberta",
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "cls_entity_prediction": false,
+  "dtype": "float32",
+  "entity_emb_size": 256,
+  "entity_vocab_size": 4,
+  "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": "luke",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "use_entity_aware_attention": true,
+  "vocab_size": 32772
+}

entity_vocab.json

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+{
+  "[MASK2]": 3,
+  "[MASK]": 0,
+  "[PAD]": 2,
+  "[UNK]": 1
+}

model.safetensors

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sentencepiece.bpe.model

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special_tokens_map.json

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+}

tokenizer_config.json

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+{
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+  "task": null,
+  "tokenizer_class": "MLukeTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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