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scenario-KD-PR-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual_all_gamma

Transformers
PyTorch
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. README.md +109 -0
  2. config.json +39 -0
  3. pytorch_model.bin +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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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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+ datasets:
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+ - tweet_sentiment_multilingual
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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: scenario-KD-PR-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual_all_gamma
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+ results: []
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+ ---
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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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+
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+ # scenario-KD-PR-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual_all_gamma
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+
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+ This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the tweet_sentiment_multilingual dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.4838
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+ - Accuracy: 0.5505
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+ - F1: 0.5508
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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+ - eval_batch_size: 32
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+ - seed: 88458
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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
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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+ | 4.8911 | 1.09 | 500 | 4.3088 | 0.4047 | 0.3809 |
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+ | 4.106 | 2.17 | 1000 | 3.7773 | 0.5058 | 0.4920 |
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+ | 3.4954 | 3.26 | 1500 | 3.3608 | 0.5347 | 0.5357 |
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+ | 3.1472 | 4.35 | 2000 | 3.4225 | 0.5343 | 0.5327 |
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+ | 2.8094 | 5.43 | 2500 | 3.4088 | 0.5436 | 0.5399 |
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+ | 2.5414 | 6.52 | 3000 | 3.3362 | 0.5552 | 0.5562 |
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+ | 2.331 | 7.61 | 3500 | 3.3218 | 0.5459 | 0.5389 |
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+ | 2.1295 | 8.7 | 4000 | 3.6107 | 0.5525 | 0.5532 |
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+ | 1.9843 | 9.78 | 4500 | 3.4533 | 0.5575 | 0.5578 |
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+ | 1.8472 | 10.87 | 5000 | 3.2933 | 0.5482 | 0.5469 |
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+ | 1.7227 | 11.96 | 5500 | 3.3387 | 0.5513 | 0.5521 |
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+ | 1.6067 | 13.04 | 6000 | 3.2725 | 0.5444 | 0.5454 |
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+ | 1.5328 | 14.13 | 6500 | 3.3817 | 0.5513 | 0.5528 |
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+ | 1.4166 | 15.22 | 7000 | 3.5382 | 0.5421 | 0.5437 |
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+ | 1.346 | 16.3 | 7500 | 3.4353 | 0.5567 | 0.5574 |
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+ | 1.3038 | 17.39 | 8000 | 3.5873 | 0.5478 | 0.5462 |
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+ | 1.2285 | 18.48 | 8500 | 3.7322 | 0.5525 | 0.5516 |
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+ | 1.1916 | 19.57 | 9000 | 3.5055 | 0.5486 | 0.5488 |
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+ | 1.1143 | 20.65 | 9500 | 3.4413 | 0.5575 | 0.5589 |
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+ | 1.0749 | 21.74 | 10000 | 3.7211 | 0.5559 | 0.5572 |
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+ | 1.0668 | 22.83 | 10500 | 3.5802 | 0.5575 | 0.5576 |
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+ | 1.0111 | 23.91 | 11000 | 3.5038 | 0.5606 | 0.5598 |
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+ | 0.9837 | 25.0 | 11500 | 3.6704 | 0.5521 | 0.5517 |
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+ | 0.9643 | 26.09 | 12000 | 3.5238 | 0.5598 | 0.5609 |
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+ | 0.9311 | 27.17 | 12500 | 3.5195 | 0.5559 | 0.5558 |
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+ | 0.902 | 28.26 | 13000 | 3.3760 | 0.5679 | 0.5653 |
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+ | 0.8935 | 29.35 | 13500 | 3.6155 | 0.5536 | 0.5539 |
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+ | 0.8745 | 30.43 | 14000 | 3.5108 | 0.5667 | 0.5662 |
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+ | 0.8444 | 31.52 | 14500 | 3.6231 | 0.5606 | 0.5597 |
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+ | 0.8327 | 32.61 | 15000 | 3.5783 | 0.5552 | 0.5508 |
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+ | 0.8237 | 33.7 | 15500 | 3.5527 | 0.5556 | 0.5548 |
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+ | 0.8035 | 34.78 | 16000 | 3.4553 | 0.5660 | 0.5657 |
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+ | 0.7948 | 35.87 | 16500 | 3.4230 | 0.5490 | 0.5503 |
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+ | 0.7886 | 36.96 | 17000 | 3.5010 | 0.5482 | 0.5494 |
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+ | 0.7711 | 38.04 | 17500 | 3.4771 | 0.5644 | 0.5648 |
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+ | 0.76 | 39.13 | 18000 | 3.5514 | 0.5563 | 0.5570 |
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+ | 0.7509 | 40.22 | 18500 | 3.4726 | 0.5586 | 0.5585 |
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+ | 0.7522 | 41.3 | 19000 | 3.5237 | 0.5606 | 0.5586 |
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+ | 0.7368 | 42.39 | 19500 | 3.4514 | 0.5532 | 0.5516 |
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+ | 0.7377 | 43.48 | 20000 | 3.5320 | 0.5633 | 0.5636 |
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+ | 0.7142 | 44.57 | 20500 | 3.4685 | 0.5613 | 0.5608 |
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+ | 0.7255 | 45.65 | 21000 | 3.4919 | 0.5652 | 0.5635 |
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+ | 0.7139 | 46.74 | 21500 | 3.4869 | 0.5556 | 0.5551 |
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+ | 0.7124 | 47.83 | 22000 | 3.4748 | 0.5644 | 0.5642 |
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+ | 0.7065 | 48.91 | 22500 | 3.4405 | 0.5602 | 0.5601 |
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+ | 0.7038 | 50.0 | 23000 | 3.4838 | 0.5505 | 0.5508 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.3
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "FacebookAI/xlm-roberta-base",
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+ "architectures": [
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+ "XLMRobertaForSequenceClassificationKD"
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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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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 384,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "label2id": {
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+ "LABEL_2": 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": 6,
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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": "4.33.3",
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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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