LiLT-RE-IT-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-IT
+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-IT](https://huggingface.co/kavg/LiLT-RE-IT) on the xfun dataset.
+It achieves the following results on the evaluation set:
+- Precision: 0.4898
+- Recall: 0.6641
+- F1: 0.5638
+- Loss: 0.6049
+
+## 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 |
+|:-------------:|:------:|:-----:|:------:|:---------------:|:---------:|:------:|
+| 0.061         | 41.67  | 500   | 0.4764 | 0.2580          | 0.4142    | 0.5606 |
+| 0.0332        | 83.33  | 1000  | 0.4906 | 0.3439          | 0.4181    | 0.5934 |
+| 0.0264        | 125.0  | 1500  | 0.5194 | 0.3892          | 0.4436    | 0.6263 |
+| 0.0104        | 166.67 | 2000  | 0.5250 | 0.4165          | 0.4468    | 0.6364 |
+| 0.0064        | 208.33 | 2500  | 0.5245 | 0.4479          | 0.4460    | 0.6364 |
+| 0.0013        | 250.0  | 3000  | 0.5204 | 0.4655          | 0.4532    | 0.6111 |
+| 0.0019        | 291.67 | 3500  | 0.5342 | 0.4859          | 0.4630    | 0.6313 |
+| 0.0009        | 333.33 | 4000  | 0.5420 | 0.5162          | 0.4640    | 0.6515 |
+| 0.0006        | 375.0  | 4500  | 0.5515 | 0.5724          | 0.4795    | 0.6490 |
+| 0.0039        | 416.67 | 5000  | 0.5470 | 0.5687          | 0.4662    | 0.6616 |
+| 0.0012        | 458.33 | 5500  | 0.5595 | 0.5582          | 0.4860    | 0.6591 |
+| 0.0001        | 500.0  | 6000  | 0.5730 | 0.5709          | 0.4981    | 0.6742 |
+| 0.0022        | 541.67 | 6500  | 0.5578 | 0.5795          | 0.4877    | 0.6515 |
+| 0.0012        | 583.33 | 7000  | 0.5674 | 0.5710          | 0.4953    | 0.6641 |
+| 0.0009        | 625.0  | 7500  | 0.5607 | 0.5994          | 0.4879    | 0.6591 |
+| 0.0002        | 666.67 | 8000  | 0.5616 | 0.5865          | 0.4879    | 0.6616 |
+| 0.0016        | 708.33 | 8500  | 0.4972 | 0.6717          | 0.5714    | 0.5878 |
+| 0.0           | 750.0  | 9000  | 0.4898 | 0.6641          | 0.5638    | 0.6049 |
+| 0.0002        | 791.67 | 9500  | 0.4826 | 0.6641          | 0.5590    | 0.6223 |
+| 0.0014        | 833.33 | 10000 | 0.4890 | 0.6742          | 0.5669    | 0.6318 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.1

config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "kavg/LiLT-RE-IT",
+  "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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