LiLT-RE-ZH-SIN

.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 +1,86 @@
+---
+license: mit
+base_model: kavg/LiLT-RE-ZH
+tags:
+- generated_from_trainer
+datasets:
+- xfun
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: checkpoints
+  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. -->
+
+# checkpoints
+
+This model is a fine-tuned version of [kavg/LiLT-RE-ZH](https://huggingface.co/kavg/LiLT-RE-ZH) on the xfun dataset.
+It achieves the following results on the evaluation set:
+- Precision: 0.4183
+- Recall: 0.5884
+- F1: 0.4890
+- Loss: 0.4704
+
+## 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: 8
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch  | Step  | F1     | Validation Loss | Precision | Recall |
+|:-------------:|:------:|:-----:|:------:|:---------------:|:---------:|:------:|
+| 0.0761        | 41.67  | 500   | 0.3965 | 0.1487          | 0.3487    | 0.4596 |
+| 0.0508        | 83.33  | 1000  | 0.4620 | 0.2456          | 0.4049    | 0.5379 |
+| 0.0422        | 125.0  | 1500  | 0.4876 | 0.2545          | 0.4137    | 0.5934 |
+| 0.0186        | 166.67 | 2000  | 0.4984 | 0.2960          | 0.4258    | 0.6010 |
+| 0.0147        | 208.33 | 2500  | 0.4933 | 0.3388          | 0.4171    | 0.6035 |
+| 0.0054        | 250.0  | 3000  | 0.5010 | 0.3819          | 0.4283    | 0.6035 |
+| 0.0059        | 291.67 | 3500  | 0.5115 | 0.4177          | 0.4373    | 0.6162 |
+| 0.006         | 333.33 | 4000  | 0.4974 | 0.3875          | 0.4281    | 0.5934 |
+| 0.0026        | 375.0  | 4500  | 0.4910 | 0.4209          | 0.4226    | 0.5859 |
+| 0.0078        | 416.67 | 5000  | 0.4952 | 0.3861          | 0.4275    | 0.5884 |
+| 0.0035        | 458.33 | 5500  | 0.4890 | 0.4193          | 0.4183    | 0.5884 |
+| 0.0022        | 500.0  | 6000  | 0.5059 | 0.4399          | 0.4395    | 0.5960 |
+| 0.0042        | 541.67 | 6500  | 0.4979 | 0.4653          | 0.4288    | 0.5934 |
+| 0.0079        | 583.33 | 7000  | 0.5037 | 0.4514          | 0.4309    | 0.6061 |
+| 0.0047        | 625.0  | 7500  | 0.4937 | 0.4701          | 0.4227    | 0.5934 |
+| 0.0032        | 666.67 | 8000  | 0.4937 | 0.4733          | 0.4227    | 0.5934 |
+| 0.0048        | 708.33 | 8500  | 0.4339 | 0.6136          | 0.5084    | 0.5080 |
+| 0.0004        | 750.0  | 9000  | 0.4183 | 0.5884          | 0.4890    | 0.4704 |
+| 0.0044        | 791.67 | 9500  | 0.4213 | 0.5884          | 0.4910    | 0.4843 |
+| 0.0014        | 833.33 | 10000 | 0.4234 | 0.5934          | 0.4942    | 0.5084 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "kavg/LiLT-RE-ZH",
+  "architectures": [
+    "LiLTRobertaLikeForRelationExtraction"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "channel_shrink_ratio": 4,
+  "classifier_dropout": null,
+  "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_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "model_type": "lilt",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

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