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: 64fbf67a176c46df0867fd922551d1cd
+  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. -->
+
+# 64fbf67a176c46df0867fd922551d1cd
+
+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 [qnli] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6947
+- Data Size: 1.0
+- Epoch Runtime: 285.4853
+- Accuracy: 0.5057
+- F1 Macro: 0.3359
+- Rouge1: 0.5053
+- Rouge2: 0.0
+- Rougel: 0.5057
+- Rougelsum: 0.5056
+
+## 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     | 0.7348          | 0         | 5.1493        | 0.4943   | 0.3308   | 0.4947 | 0.0    | 0.4943 | 0.4944    |
+| No log        | 1     | 3273  | 0.6081          | 0.0078    | 8.7462        | 0.6680   | 0.6445   | 0.6680 | 0.0    | 0.6682 | 0.6678    |
+| 0.0102        | 2     | 6546  | 0.5758          | 0.0156    | 9.7289        | 0.7256   | 0.7103   | 0.7256 | 0.0    | 0.725  | 0.7254    |
+| 0.5972        | 3     | 9819  | 0.4786          | 0.0312    | 14.8877       | 0.7776   | 0.7773   | 0.7776 | 0.0    | 0.7774 | 0.7774    |
+| 0.5346        | 4     | 13092 | 0.5234          | 0.0625    | 23.5677       | 0.7482   | 0.7451   | 0.7483 | 0.0    | 0.7482 | 0.7481    |
+| 0.5016        | 5     | 16365 | 0.4684          | 0.125     | 40.0043       | 0.7871   | 0.7869   | 0.7869 | 0.0    | 0.7871 | 0.7873    |
+| 0.5366        | 6     | 19638 | 0.5159          | 0.25      | 77.4840       | 0.7384   | 0.7294   | 0.7384 | 0.0    | 0.7388 | 0.7384    |
+| 0.5204        | 7     | 22911 | 0.5355          | 0.5       | 143.7341      | 0.7472   | 0.7413   | 0.7473 | 0.0    | 0.7471 | 0.7478    |
+| 0.5771        | 8.0   | 26184 | 0.5010          | 1.0       | 283.8218      | 0.7888   | 0.7881   | 0.7888 | 0.0    | 0.7886 | 0.7885    |
+| 0.6953        | 9.0   | 29457 | 0.6947          | 1.0       | 285.4853      | 0.5057   | 0.3359   | 0.5053 | 0.0    | 0.5057 | 0.5056    |
+
+
+### 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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+    "single_word": false
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+}

tokenizer_config.json

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+{
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+  "model_max_length": 512,
+  "pad_token": "<pad>",
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+  "sp_model_kwargs": {},
+  "task": null,
+  "tokenizer_class": "MLukeTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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