Upload 34 files
Browse files- .gitattributes +1 -0
- README.md +128 -3
- all_results.json +25 -0
- checkpoint-16500/config.json +40 -0
- checkpoint-16500/model.safetensors +3 -0
- checkpoint-16500/optimizer.pt +3 -0
- checkpoint-16500/rng_state.pth +3 -0
- checkpoint-16500/scheduler.pt +3 -0
- checkpoint-16500/trainer_state.json +615 -0
- checkpoint-16500/training_args.bin +3 -0
- checkpoint-31000/config.json +40 -0
- checkpoint-31000/model.safetensors +3 -0
- checkpoint-31000/optimizer.pt +3 -0
- checkpoint-31000/rng_state.pth +3 -0
- checkpoint-31000/scheduler.pt +3 -0
- checkpoint-31000/trainer_state.json +1137 -0
- checkpoint-31000/training_args.bin +3 -0
- checkpoint-31500/config.json +40 -0
- checkpoint-31500/model.safetensors +3 -0
- checkpoint-31500/optimizer.pt +3 -0
- checkpoint-31500/rng_state.pth +3 -0
- checkpoint-31500/scheduler.pt +3 -0
- checkpoint-31500/trainer_state.json +1155 -0
- checkpoint-31500/training_args.bin +3 -0
- config.json +40 -0
- eval_results.json +14 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +51 -0
- test_results.json +10 -0
- tokenizer.json +3 -0
- tokenizer_config.json +61 -0
- train_results.json +7 -0
- trainer_state.json +1164 -0
- training_args.bin +3 -0
.gitattributes
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README.md
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---
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---
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base_model: cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual
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tags:
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- generated_from_trainer
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datasets:
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- all
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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: cardiffnlp-twitter-xlmr-finetuned-txtnly-all-42
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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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# cardiffnlp-twitter-xlmr-finetuned-txtnly-all-42
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual) on the all dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6972
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- Precision: 0.6687
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- Recall: 0.6729
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- F1: 0.6703
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 50.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
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| 0.6122 | 0.06 | 500 | 0.8542 | 0.6559 | 0.4905 | 0.4841 |
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| 0.5497 | 0.12 | 1000 | 0.8037 | 0.7044 | 0.6070 | 0.6209 |
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| 0.5404 | 0.18 | 1500 | 0.9700 | 0.5591 | 0.4176 | 0.3652 |
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| 0.5165 | 0.24 | 2000 | 0.7449 | 0.7349 | 0.5297 | 0.5369 |
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| 0.5136 | 0.3 | 2500 | 0.7885 | 0.6766 | 0.5025 | 0.5001 |
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| 0.5072 | 0.36 | 3000 | 0.8124 | 0.6076 | 0.6132 | 0.5917 |
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| 0.5011 | 0.42 | 3500 | 0.8767 | 0.6427 | 0.5987 | 0.5784 |
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| 0.5021 | 0.48 | 4000 | 0.7958 | 0.6848 | 0.6362 | 0.6503 |
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| 0.4946 | 0.54 | 4500 | 0.8045 | 0.7220 | 0.4968 | 0.4983 |
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| 0.4928 | 0.6 | 5000 | 0.7803 | 0.7582 | 0.5381 | 0.5503 |
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| 0.5008 | 0.66 | 5500 | 0.7507 | 0.4407 | 0.4798 | 0.4594 |
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| 0.4966 | 0.72 | 6000 | 0.8239 | 0.6140 | 0.6767 | 0.6311 |
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| 0.4791 | 0.78 | 6500 | 0.7028 | 0.6568 | 0.5206 | 0.5413 |
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| 0.494 | 0.84 | 7000 | 0.8034 | 0.6660 | 0.5189 | 0.5227 |
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| 0.4861 | 0.9 | 7500 | 0.9003 | 0.5781 | 0.4785 | 0.4541 |
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| 0.4804 | 0.96 | 8000 | 0.7740 | 0.6239 | 0.5775 | 0.5792 |
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| 0.4614 | 1.02 | 8500 | 0.7397 | 0.6848 | 0.6312 | 0.6471 |
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| 0.4315 | 1.08 | 9000 | 0.7889 | 0.6642 | 0.6035 | 0.6149 |
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| 0.4506 | 1.14 | 9500 | 0.8784 | 0.6387 | 0.5017 | 0.4968 |
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| 0.4489 | 1.2 | 10000 | 0.7994 | 0.5340 | 0.4964 | 0.4949 |
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| 0.4466 | 1.26 | 10500 | 0.8110 | 0.5776 | 0.4735 | 0.4464 |
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| 0.4319 | 1.32 | 11000 | 0.8069 | 0.6612 | 0.5399 | 0.5481 |
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| 0.4243 | 1.38 | 11500 | 0.7942 | 0.5948 | 0.5705 | 0.5797 |
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| 0.4398 | 1.44 | 12000 | 0.9738 | 0.5370 | 0.6070 | 0.5247 |
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| 0.4526 | 1.5 | 12500 | 0.7196 | 0.7046 | 0.5478 | 0.5590 |
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| 0.4529 | 1.56 | 13000 | 0.8050 | 0.6419 | 0.5731 | 0.5863 |
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| 0.446 | 1.62 | 13500 | 0.7564 | 0.6521 | 0.5912 | 0.6107 |
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| 0.4315 | 1.68 | 14000 | 0.7515 | 0.6475 | 0.6069 | 0.6212 |
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| 0.4464 | 1.74 | 14500 | 0.8308 | 0.6276 | 0.5513 | 0.5599 |
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| 0.4423 | 1.8 | 15000 | 0.7982 | 0.6176 | 0.5937 | 0.5992 |
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| 0.4551 | 1.86 | 15500 | 0.8223 | 0.6356 | 0.5934 | 0.6020 |
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| 0.4408 | 1.92 | 16000 | 0.7691 | 0.6088 | 0.5147 | 0.5131 |
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| 0.4389 | 1.98 | 16500 | 0.6972 | 0.6687 | 0.6729 | 0.6703 |
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| 0.3886 | 2.04 | 17000 | 0.7798 | 0.6126 | 0.5437 | 0.5543 |
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| 0.3883 | 2.1 | 17500 | 0.8385 | 0.5948 | 0.6225 | 0.5978 |
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| 0.4011 | 2.16 | 18000 | 0.7755 | 0.6551 | 0.5787 | 0.5915 |
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| 0.3992 | 2.22 | 18500 | 0.7886 | 0.5582 | 0.5519 | 0.5472 |
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| 0.393 | 2.28 | 19000 | 0.7660 | 0.5901 | 0.5923 | 0.5889 |
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| 0.3891 | 2.34 | 19500 | 0.7702 | 0.5792 | 0.5331 | 0.5354 |
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| 0.4119 | 2.41 | 20000 | 0.8545 | 0.5406 | 0.5243 | 0.5111 |
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| 0.3981 | 2.47 | 20500 | 0.8641 | 0.5695 | 0.5536 | 0.5364 |
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| 0.4 | 2.53 | 21000 | 0.8045 | 0.5988 | 0.5845 | 0.5822 |
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| 0.4059 | 2.59 | 21500 | 0.8023 | 0.6301 | 0.5549 | 0.5696 |
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| 0.3805 | 2.65 | 22000 | 0.8242 | 0.5633 | 0.5363 | 0.5387 |
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| 0.4126 | 2.71 | 22500 | 0.8866 | 0.5630 | 0.5244 | 0.5253 |
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| 0.3959 | 2.77 | 23000 | 0.9228 | 0.6486 | 0.5570 | 0.5716 |
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| 0.3972 | 2.83 | 23500 | 0.8297 | 0.6415 | 0.6336 | 0.6330 |
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| 0.3779 | 2.89 | 24000 | 0.8683 | 0.6023 | 0.5920 | 0.5897 |
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| 0.3951 | 2.95 | 24500 | 0.8628 | 0.5892 | 0.5116 | 0.5125 |
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| 0.3916 | 3.01 | 25000 | 0.9203 | 0.6305 | 0.5026 | 0.5024 |
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| 0.3524 | 3.07 | 25500 | 0.9825 | 0.6089 | 0.5039 | 0.5011 |
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| 0.3332 | 3.13 | 26000 | 0.8755 | 0.5980 | 0.5712 | 0.5814 |
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| 0.3517 | 3.19 | 26500 | 0.9922 | 0.6701 | 0.5941 | 0.6181 |
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| 0.3534 | 3.25 | 27000 | 0.9573 | 0.5653 | 0.5175 | 0.5243 |
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| 0.3544 | 3.31 | 27500 | 0.9827 | 0.5739 | 0.5531 | 0.5551 |
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| 0.3526 | 3.37 | 28000 | 0.9517 | 0.6019 | 0.4737 | 0.4657 |
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| 0.3448 | 3.43 | 28500 | 0.9559 | 0.5744 | 0.5138 | 0.5232 |
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| 0.3662 | 3.49 | 29000 | 0.8470 | 0.6417 | 0.6176 | 0.6173 |
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| 0.3502 | 3.55 | 29500 | 0.8524 | 0.6606 | 0.5776 | 0.5912 |
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| 0.3733 | 3.61 | 30000 | 0.9210 | 0.5578 | 0.5555 | 0.5466 |
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| 0.3424 | 3.67 | 30500 | 0.9295 | 0.5863 | 0.6100 | 0.5809 |
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| 0.3591 | 3.73 | 31000 | 0.9707 | 0.5828 | 0.4769 | 0.4588 |
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| 0.3634 | 3.79 | 31500 | 0.8524 | 0.6136 | 0.5681 | 0.5752 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 3.79,
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"eval_f1": 0.6702519892656928,
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"eval_loss": 0.6971784234046936,
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"eval_precision": 0.6686766810877821,
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"eval_recall": 0.6729106735558349,
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"eval_runtime": 5.8753,
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"eval_samples_per_second": 149.44,
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"eval_steps_per_second": 9.361,
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"seed": 42,
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"test_f1": 0.6309333302387673,
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"test_loss": 0.6790701746940613,
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"test_precision": 0.6301019352201087,
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"test_recall": 0.6496975678367595,
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"test_runtime": 36.8059,
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"test_samples_per_second": 246.645,
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"test_size": 9078,
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"test_steps_per_second": 15.432,
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"train_loss": 0.42908321610708083,
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"train_runtime": 7590.5884,
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"train_samples_per_second": 876.388,
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"train_size": 133046,
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"train_steps_per_second": 54.778,
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"valid_size": 878
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}
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checkpoint-16500/config.json
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{
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"_name_or_path": "cardiffnlp/twitter-xlm-roberta-base-sentiment-multilingual",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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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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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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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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"id2label": {
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"0": "negative",
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"1": "neutral",
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"2": "positive"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"negative": 0,
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"neutral": 1,
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"positive": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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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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"problem_type": "single_label_classification",
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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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checkpoint-16500/model.safetensors
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checkpoint-16500/optimizer.pt
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checkpoint-16500/trainer_state.json
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