End of training
Browse files- .gitattributes +1 -0
- README.md +139 -0
- config.json +37 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* 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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*.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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@@ -0,0 +1,139 @@
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+
---
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+
license: mit
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base_model: FacebookAI/xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: XMLRoberta_Lexical_Dataset59KBoDuoi
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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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# XMLRoberta_Lexical_Dataset59KBoDuoi
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6232
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- Accuracy: 0.8988
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- F1: 0.8992
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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: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-------:|:-----:|:---------------:|:--------:|:------:|
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| No log | 0.2558 | 200 | 0.4593 | 0.7916 | 0.7880 |
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| No log | 0.5115 | 400 | 0.3779 | 0.8222 | 0.8249 |
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| No log | 0.7673 | 600 | 0.3462 | 0.8514 | 0.8497 |
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| 0.4345 | 1.0230 | 800 | 0.3543 | 0.8554 | 0.8513 |
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| 0.4345 | 1.2788 | 1000 | 0.3504 | 0.8573 | 0.8537 |
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| 0.4345 | 1.5345 | 1200 | 0.3033 | 0.8767 | 0.8772 |
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| 0.4345 | 1.7903 | 1400 | 0.2834 | 0.8778 | 0.8788 |
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| 0.3071 | 2.0460 | 1600 | 0.3207 | 0.8671 | 0.8695 |
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| 0.3071 | 2.3018 | 1800 | 0.2959 | 0.8822 | 0.8814 |
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| 0.3071 | 2.5575 | 2000 | 0.2821 | 0.8778 | 0.8781 |
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| 0.3071 | 2.8133 | 2200 | 0.3024 | 0.8872 | 0.8883 |
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| 0.2523 | 3.0691 | 2400 | 0.2972 | 0.8888 | 0.8894 |
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| 0.2523 | 3.3248 | 2600 | 0.2746 | 0.8883 | 0.8891 |
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| 0.2523 | 3.5806 | 2800 | 0.2828 | 0.8909 | 0.8911 |
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| 0.2523 | 3.8363 | 3000 | 0.2822 | 0.8941 | 0.8941 |
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| 0.2177 | 4.0921 | 3200 | 0.2995 | 0.8898 | 0.8910 |
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| 0.2177 | 4.3478 | 3400 | 0.2953 | 0.8887 | 0.8898 |
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| 0.2177 | 4.6036 | 3600 | 0.2944 | 0.8925 | 0.8931 |
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| 0.2177 | 4.8593 | 3800 | 0.3006 | 0.8957 | 0.8958 |
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| 0.189 | 5.1151 | 4000 | 0.2816 | 0.8950 | 0.8955 |
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| 0.189 | 5.3708 | 4200 | 0.2865 | 0.8956 | 0.8960 |
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| 0.189 | 5.6266 | 4400 | 0.2794 | 0.8961 | 0.8966 |
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| 0.189 | 5.8824 | 4600 | 0.2836 | 0.8980 | 0.8986 |
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| 0.1637 | 6.1381 | 4800 | 0.3399 | 0.8949 | 0.8951 |
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| 0.1637 | 6.3939 | 5000 | 0.3248 | 0.8952 | 0.8957 |
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| 0.1637 | 6.6496 | 5200 | 0.3341 | 0.8976 | 0.8979 |
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| 0.1637 | 6.9054 | 5400 | 0.2993 | 0.8962 | 0.8970 |
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| 0.1388 | 7.1611 | 5600 | 0.3662 | 0.8967 | 0.8978 |
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| 0.1388 | 7.4169 | 5800 | 0.3761 | 0.8962 | 0.8968 |
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| 0.1388 | 7.6726 | 6000 | 0.3305 | 0.8953 | 0.8961 |
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| 0.1388 | 7.9284 | 6200 | 0.3328 | 0.8966 | 0.8970 |
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| 0.1193 | 8.1841 | 6400 | 0.3753 | 0.8980 | 0.8985 |
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| 0.1193 | 8.4399 | 6600 | 0.3646 | 0.8974 | 0.8976 |
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| 0.1193 | 8.6957 | 6800 | 0.3800 | 0.8963 | 0.8966 |
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| 0.1193 | 8.9514 | 7000 | 0.3472 | 0.8980 | 0.8987 |
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| 0.1059 | 9.2072 | 7200 | 0.3991 | 0.9002 | 0.9004 |
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| 0.1059 | 9.4629 | 7400 | 0.4026 | 0.8967 | 0.8978 |
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| 0.1059 | 9.7187 | 7600 | 0.3915 | 0.8983 | 0.8983 |
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| 0.1059 | 9.9744 | 7800 | 0.3932 | 0.8997 | 0.8999 |
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| 0.0923 | 10.2302 | 8000 | 0.4887 | 0.8939 | 0.8947 |
|
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| 0.0923 | 10.4859 | 8200 | 0.4074 | 0.8977 | 0.8981 |
|
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| 0.0923 | 10.7417 | 8400 | 0.3931 | 0.8998 | 0.9003 |
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| 0.0806 | 10.9974 | 8600 | 0.4131 | 0.8955 | 0.8964 |
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| 0.0806 | 11.2532 | 8800 | 0.4499 | 0.8963 | 0.8970 |
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| 0.0806 | 11.5090 | 9000 | 0.4436 | 0.8999 | 0.9002 |
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| 0.0806 | 11.7647 | 9200 | 0.4842 | 0.8965 | 0.8968 |
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| 0.0697 | 12.0205 | 9400 | 0.4851 | 0.8961 | 0.8963 |
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| 0.0697 | 12.2762 | 9600 | 0.5138 | 0.8999 | 0.9002 |
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| 0.0697 | 12.5320 | 9800 | 0.5020 | 0.8963 | 0.8964 |
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| 0.0697 | 12.7877 | 10000 | 0.5108 | 0.8929 | 0.8940 |
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| 0.064 | 13.0435 | 10200 | 0.4893 | 0.8966 | 0.8968 |
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| 0.064 | 13.2992 | 10400 | 0.5052 | 0.8973 | 0.8980 |
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| 0.064 | 13.5550 | 10600 | 0.4917 | 0.8970 | 0.8971 |
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| 0.064 | 13.8107 | 10800 | 0.5087 | 0.8965 | 0.8968 |
|
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| 0.0571 | 14.0665 | 11000 | 0.5195 | 0.8970 | 0.8977 |
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| 0.0571 | 14.3223 | 11200 | 0.5279 | 0.8932 | 0.8943 |
|
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| 0.0571 | 14.5780 | 11400 | 0.5015 | 0.8974 | 0.8978 |
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| 0.0571 | 14.8338 | 11600 | 0.5301 | 0.8961 | 0.8965 |
|
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| 0.0538 | 15.0895 | 11800 | 0.5297 | 0.8951 | 0.8952 |
|
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| 0.0538 | 15.3453 | 12000 | 0.5573 | 0.8976 | 0.8980 |
|
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| 0.0538 | 15.6010 | 12200 | 0.5579 | 0.8955 | 0.8962 |
|
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| 0.0538 | 15.8568 | 12400 | 0.5814 | 0.8969 | 0.8968 |
|
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| 0.0481 | 16.1125 | 12600 | 0.5861 | 0.8972 | 0.8974 |
|
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| 0.0481 | 16.3683 | 12800 | 0.5871 | 0.8968 | 0.8972 |
|
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| 0.0481 | 16.6240 | 13000 | 0.5913 | 0.8978 | 0.8986 |
|
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| 0.0481 | 16.8798 | 13200 | 0.6100 | 0.8957 | 0.8967 |
|
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| 0.043 | 17.1355 | 13400 | 0.5895 | 0.8976 | 0.8982 |
|
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| 0.043 | 17.3913 | 13600 | 0.5653 | 0.8978 | 0.8982 |
|
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| 0.043 | 17.6471 | 13800 | 0.5914 | 0.8996 | 0.8999 |
|
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| 0.043 | 17.9028 | 14000 | 0.5850 | 0.9005 | 0.9007 |
|
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| 0.042 | 18.1586 | 14200 | 0.5927 | 0.8983 | 0.8988 |
|
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| 0.042 | 18.4143 | 14400 | 0.6164 | 0.8997 | 0.8999 |
|
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| 0.042 | 18.6701 | 14600 | 0.6324 | 0.8986 | 0.8992 |
|
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| 0.042 | 18.9258 | 14800 | 0.6097 | 0.8996 | 0.9001 |
|
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| 0.0383 | 19.1816 | 15000 | 0.6029 | 0.8985 | 0.8989 |
|
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| 0.0383 | 19.4373 | 15200 | 0.6067 | 0.8988 | 0.8992 |
|
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| 0.0383 | 19.6931 | 15400 | 0.6177 | 0.8987 | 0.8991 |
|
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| 0.0383 | 19.9488 | 15600 | 0.6232 | 0.8988 | 0.8992 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "FacebookAI/xlm-roberta-base",
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"architectures": [
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"XMLRobertaLexical"
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],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
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7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
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10 |
+
"hidden_act": "gelu",
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+
"hidden_dropout_prob": 0.1,
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+
"hidden_size": 768,
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13 |
+
"id2label": {
|
14 |
+
"0": "B\u00ecnh th\u01b0\u1eddng",
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+
"1": "T\u00ednh nhi\u1ec7m th\u1ea5p"
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+
},
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"label2id": {
|
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+
"B\u00ecnh th\u01b0\u1eddng": 0,
|
21 |
+
"T\u00ednh nhi\u1ec7m th\u1ea5p": 1
|
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+
},
|
23 |
+
"layer_norm_eps": 1e-05,
|
24 |
+
"max_position_embeddings": 514,
|
25 |
+
"model_type": "xlm-roberta",
|
26 |
+
"num_attention_heads": 12,
|
27 |
+
"num_classes": 2,
|
28 |
+
"num_hidden_layers": 12,
|
29 |
+
"output_past": true,
|
30 |
+
"pad_token_id": 1,
|
31 |
+
"position_embedding_type": "absolute",
|
32 |
+
"torch_dtype": "float32",
|
33 |
+
"transformers_version": "4.41.2",
|
34 |
+
"type_vocab_size": 1,
|
35 |
+
"use_cache": true,
|
36 |
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"vocab_size": 250002
|
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+
}
|
model.safetensors
ADDED
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|
1 |
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version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:9280f52b9e2bed03479702e8063a3fe27d0c64a4e13d55f688b08f4571caec5d
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+
size 1110650648
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sentencepiece.bpe.model
ADDED
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
|
3 |
+
size 5069051
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special_tokens_map.json
ADDED
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1 |
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{
|
2 |
+
"bos_token": "<s>",
|
3 |
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"cls_token": "<s>",
|
4 |
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"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
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"unk_token": "<unk>"
|
15 |
+
}
|
tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1742a608da1249ee2a11741fd2fdb9bc0c4ec18330f7ec4e863ba7cc6e4185ac
|
3 |
+
size 17082986
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tokenizer_config.json
ADDED
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{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
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"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
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"1": {
|
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"content": "<pad>",
|
13 |
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"lstrip": false,
|
14 |
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"normalized": false,
|
15 |
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"rstrip": false,
|
16 |
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"single_word": false,
|
17 |
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"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
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"content": "</s>",
|
21 |
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"lstrip": false,
|
22 |
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"normalized": false,
|
23 |
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"rstrip": false,
|
24 |
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"single_word": false,
|
25 |
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"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"250001": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": true,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "<s>",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "<s>",
|
47 |
+
"eos_token": "</s>",
|
48 |
+
"mask_token": "<mask>",
|
49 |
+
"model_max_length": 512,
|
50 |
+
"pad_token": "<pad>",
|
51 |
+
"sep_token": "</s>",
|
52 |
+
"tokenizer_class": "XLMRobertaTokenizer",
|
53 |
+
"unk_token": "<unk>"
|
54 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2249061b8f21f896c993ab172d8af872935dbba6761093b2a754de6d1b479e45
|
3 |
+
size 5112
|