LiLT-RE-FR-SIN
Browse files- .gitattributes +1 -0
- README.md +86 -0
- config.json +30 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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base_model: kavg/LiLT-RE-FR
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tags:
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- generated_from_trainer
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datasets:
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- xfun
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metrics:
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- precision
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- recall
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- f1
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model-index:
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- name: checkpoints
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# checkpoints
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This model is a fine-tuned version of [kavg/LiLT-RE-FR](https://huggingface.co/kavg/LiLT-RE-FR) on the xfun dataset.
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It achieves the following results on the evaluation set:
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- Precision: 0.3604
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- Recall: 0.5707
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- F1: 0.4418
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- Loss: 0.2693
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 10000
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### Training results
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| Training Loss | Epoch | Step | Precision | Recall | F1 | Validation Loss |
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|:-------------:|:------:|:-----:|:---------:|:------:|:------:|:---------------:|
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| 0.0868 | 41.67 | 500 | 0.3688 | 0.2803 | 0.3185 | 0.1679 |
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| 0.0557 | 83.33 | 1000 | 0.3604 | 0.5707 | 0.4418 | 0.2693 |
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| 0.0513 | 125.0 | 1500 | 0.3962 | 0.5833 | 0.4719 | 0.3008 |
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| 0.0248 | 166.67 | 2000 | 0.4043 | 0.6237 | 0.4906 | 0.4857 |
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| 0.0139 | 208.33 | 2500 | 0.4296 | 0.6010 | 0.5011 | 0.4227 |
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| 0.004 | 250.0 | 3000 | 0.4177 | 0.6212 | 0.4995 | 0.5369 |
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| 0.0084 | 291.67 | 3500 | 0.4255 | 0.6490 | 0.514 | 0.5332 |
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| 0.0067 | 333.33 | 4000 | 0.4259 | 0.6389 | 0.5111 | 0.4978 |
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| 0.0008 | 375.0 | 4500 | 0.4189 | 0.6263 | 0.5020 | 0.4567 |
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| 0.0116 | 416.67 | 5000 | 0.4336 | 0.6515 | 0.5207 | 0.5514 |
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| 0.0007 | 458.33 | 5500 | 0.4394 | 0.6414 | 0.5216 | 0.5703 |
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| 0.0004 | 500.0 | 6000 | 0.4504 | 0.6540 | 0.5335 | 0.6107 |
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| 0.002 | 541.67 | 6500 | 0.4480 | 0.6414 | 0.5275 | 0.5859 |
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| 0.0059 | 583.33 | 7000 | 0.4526 | 0.6263 | 0.5254 | 0.6033 |
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| 0.0023 | 625.0 | 7500 | 0.4379 | 0.6414 | 0.5205 | 0.6440 |
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| 0.0007 | 666.67 | 8000 | 0.4499 | 0.6237 | 0.5228 | 0.5594 |
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| 0.003 | 708.33 | 8500 | 0.4393 | 0.6490 | 0.5240 | 0.6276 |
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| 0.0001 | 750.0 | 9000 | 0.4410 | 0.6515 | 0.5260 | 0.6132 |
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| 0.001 | 791.67 | 9500 | 0.4376 | 0.6288 | 0.5161 | 0.6312 |
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| 0.0001 | 833.33 | 10000 | 0.4415 | 0.6389 | 0.5222 | 0.6304 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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config.json
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{
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"_name_or_path": "kavg/LiLT-RE-FR",
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"architectures": [
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"LiLTRobertaLikeForRelationExtraction"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"channel_shrink_ratio": 4,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_2d_position_embeddings": 1024,
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"max_position_embeddings": 514,
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"model_type": "lilt",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:617ca9afc337ac1136b98b2b25f7c8c672d4db2a6c763b20a279ce94923ba09b
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size 1147300280
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special_tokens_map.json
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}
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af
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size 17082756
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tokenizer_config.json
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},
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"250001": {
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}
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},
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"sep_token": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5743ca263de7bfe973cb612e1562520593078c75aa258e8498d522c5f45f8031
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size 5048
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