End of training

README.md

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+---
+license: apache-2.0
+base_model: studio-ousia/mluke-large-lite
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: out
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/rspeech3399/huggingface/runs/uv90lda8)
+# out
+
+This model is a fine-tuned version of [studio-ousia/mluke-large-lite](https://huggingface.co/studio-ousia/mluke-large-lite) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1615
+- Accuracy: 0.9399
+- Precision: 0.9346
+- Recall: 0.9460
+- F1: 0.9403
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.4109        | 1.0   | 1479 | 0.2462          | 0.9003   | 0.8710    | 0.9399 | 0.9041 |
+| 0.1579        | 2.0   | 2958 | 0.1573          | 0.9399   | 0.9495    | 0.9293 | 0.9393 |
+| 0.114         | 3.0   | 4437 | 0.1615          | 0.9399   | 0.9346    | 0.9460 | 0.9403 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.0+cu118
+- Datasets 2.20.0
+- Tokenizers 0.19.1

added_tokens.json

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+{
+  "<ent2>": 250003,
+  "<ent>": 250002
+}

config.json

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+{
+  "_name_or_path": "studio-ousia/mluke-large-lite",
+  "architectures": [
+    "LukeForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bert_model_name": "xlm-roberta-large",
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "cls_entity_prediction": false,
+  "deepspeed_transformer_layer_args": {},
+  "entity_emb_size": 256,
+  "entity_vocab_size": 4,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "luke",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "use_deepspeed_transformer_layer": false,
+  "use_entity_aware_attention": false,
+  "vocab_size": 250004
+}

entity_vocab.json

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

model.safetensors

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+oid sha256:0bbe9bed6fd98fcddcb964fd586122a56ed98911edfd66815456d07bb573eccd
+size 1121422252

sentencepiece.bpe.model

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+size 5069051

special_tokens_map.json

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+{
+  "additional_special_tokens": [
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+      "lstrip": false,
+      "normalized": true,
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+      "single_word": false
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
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+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "entity_mask2_token": "[MASK2]",
+  "entity_mask_token": "[MASK]",
+  "entity_pad_token": "[PAD]",
+  "entity_token_1": {
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+    "content": "<ent>",
+    "lstrip": false,
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+  "entity_unk_token": "[UNK]",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "max_entity_length": 32,
+  "max_mention_length": 30,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "task": null,
+  "tokenizer_class": "MLukeTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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