LiLT-RE-DE-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-DE
+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-DE](https://huggingface.co/kavg/LiLT-RE-DE) on the xfun dataset.
+It achieves the following results on the evaluation set:
+- Precision: 0.2952
+- Recall: 0.4167
+- F1: 0.3455
+- Loss: 0.3186
+
+## 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  | Precision | Recall | F1     | Validation Loss |
+|:-------------:|:------:|:-----:|:---------:|:------:|:------:|:---------------:|
+| 0.1035        | 41.67  | 500   | 0.2905    | 0.1540 | 0.2013 | 0.2291          |
+| 0.0691        | 83.33  | 1000  | 0.2952    | 0.4167 | 0.3455 | 0.3186          |
+| 0.0442        | 125.0  | 1500  | 0.2970    | 0.5909 | 0.3953 | 0.2765          |
+| 0.024         | 166.67 | 2000  | 0.3227    | 0.5884 | 0.4168 | 0.4144          |
+| 0.0216        | 208.33 | 2500  | 0.3234    | 0.6035 | 0.4211 | 0.4036          |
+| 0.0096        | 250.0  | 3000  | 0.3534    | 0.6364 | 0.4545 | 0.5716          |
+| 0.0079        | 291.67 | 3500  | 0.3456    | 0.5934 | 0.4368 | 0.6643          |
+| 0.0045        | 333.33 | 4000  | 0.3427    | 0.6187 | 0.4410 | 0.6955          |
+| 0.0017        | 375.0  | 4500  | 0.3587    | 0.6187 | 0.4541 | 0.8144          |
+| 0.0147        | 416.67 | 5000  | 0.3407    | 0.6212 | 0.4401 | 0.8101          |
+| 0.0027        | 458.33 | 5500  | 0.3491    | 0.6162 | 0.4457 | 0.8809          |
+| 0.0079        | 500.0  | 6000  | 0.3183    | 0.6061 | 0.4174 | 0.8863          |
+| 0.0028        | 541.67 | 6500  | 0.3506    | 0.5985 | 0.4422 | 0.9944          |
+| 0.0075        | 583.33 | 7000  | 0.3476    | 0.5960 | 0.4391 | 0.9920          |
+| 0.0002        | 625.0  | 7500  | 0.3448    | 0.6061 | 0.4396 | 0.9752          |
+| 0.0025        | 666.67 | 8000  | 0.3456    | 0.6162 | 0.4428 | 0.9866          |
+| 0.0037        | 708.33 | 8500  | 0.3465    | 0.6187 | 0.4442 | 1.0153          |
+| 0.0041        | 750.0  | 9000  | 0.3442    | 0.6136 | 0.4410 | 1.1227          |
+| 0.0023        | 791.67 | 9500  | 0.3450    | 0.6237 | 0.4442 | 1.0995          |
+| 0.0007        | 833.33 | 10000 | 0.3408    | 0.6162 | 0.4388 | 1.1097          |
+
+
+### 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-DE",
+  "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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+}

training_args.bin

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