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scenario-KD-SCR-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual_all55

Transformers
PyTorch
deberta-v2
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. README.md +109 -0
  2. config.json +45 -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: microsoft/mdeberta-v3-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-SCR-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual_all55
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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-SCR-CDF-ALL-D2_data-cardiffnlp_tweet_sentiment_multilingual_all55
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+
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+ This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-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: nan
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+ - Accuracy: 0.3333
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+ - F1: 0.1667
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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: 55
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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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+ | 5.0635 | 1.09 | 500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 2.17 | 1000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 3.26 | 1500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 4.35 | 2000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 5.43 | 2500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 6.52 | 3000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 7.61 | 3500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 8.7 | 4000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 9.78 | 4500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 10.87 | 5000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 11.96 | 5500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 13.04 | 6000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 14.13 | 6500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 15.22 | 7000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 16.3 | 7500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 17.39 | 8000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 18.48 | 8500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 19.57 | 9000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 20.65 | 9500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 21.74 | 10000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 22.83 | 10500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 23.91 | 11000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 25.0 | 11500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 26.09 | 12000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 27.17 | 12500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 28.26 | 13000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 29.35 | 13500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 30.43 | 14000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 31.52 | 14500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 32.61 | 15000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 33.7 | 15500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 34.78 | 16000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 35.87 | 16500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 36.96 | 17000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 38.04 | 17500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 39.13 | 18000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 40.22 | 18500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 41.3 | 19000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 42.39 | 19500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 43.48 | 20000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 44.57 | 20500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 45.65 | 21000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 46.74 | 21500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 47.83 | 22000 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 48.91 | 22500 | nan | 0.3333 | 0.1667 |
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+ | 0.0 | 50.0 | 23000 | nan | 0.3333 | 0.1667 |
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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": "microsoft/mdeberta-v3-base",
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+ "architectures": [
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+ "DebertaForSequenceClassificationKD"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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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": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2"
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+ },
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ },
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+ "layer_norm_eps": 1e-07,
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+ "max_position_embeddings": 512,
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+ "max_relative_positions": -1,
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+ "model_type": "deberta-v2",
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+ "norm_rel_ebd": "layer_norm",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 0,
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
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+ "pooler_hidden_size": 768,
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+ "pos_att_type": [
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+ "p2c",
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+ "c2p"
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+ ],
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+ "position_biased_input": false,
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+ "position_buckets": 256,
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+ "relative_attention": true,
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+ "share_att_key": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.3",
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+ "type_vocab_size": 0,
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+ "vocab_size": 251000
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+ }
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