Commit
•
e8c0878
1
Parent(s):
484e5df
End of training
Browse files- README.md +105 -0
- config.json +52 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- trainer_state.json +1132 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: roberta-large
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tags:
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- generated_from_trainer
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datasets:
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- open_question_type
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metrics:
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- f1
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model-index:
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- name: roberta-large-question-classifier
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: open_question_type
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type: open_question_type
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config: default
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split: validation
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args: default
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metrics:
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- name: F1
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type: f1
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value: 0.7954091951908298
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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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# roberta-large-question-classifier
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the open_question_type dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9002
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- F1: 0.7954
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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: 16
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- eval_batch_size: 512
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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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- num_epochs: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.9467 | 1.0 | 233 | 1.3099 | 0.4050 |
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| 0.6381 | 2.0 | 466 | 0.5586 | 0.7785 |
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| 0.628 | 3.0 | 699 | 0.6419 | 0.7831 |
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| 0.4487 | 4.0 | 932 | 0.5770 | 0.8094 |
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| 0.3319 | 5.0 | 1165 | 0.7713 | 0.7953 |
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| 0.2095 | 6.0 | 1398 | 0.8799 | 0.8018 |
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| 0.1355 | 7.0 | 1631 | 1.0646 | 0.7961 |
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| 0.0956 | 8.0 | 1864 | 1.2175 | 0.7999 |
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| 0.0687 | 9.0 | 2097 | 1.3647 | 0.7892 |
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| 0.0371 | 10.0 | 2330 | 1.3809 | 0.7987 |
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| 0.0303 | 11.0 | 2563 | 1.3591 | 0.8123 |
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| 0.0263 | 12.0 | 2796 | 1.5317 | 0.8100 |
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| 0.0144 | 13.0 | 3029 | 1.5726 | 0.7959 |
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| 0.0436 | 14.0 | 3262 | 1.6160 | 0.7988 |
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| 0.0048 | 15.0 | 3495 | 1.6826 | 0.7957 |
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| 0.0001 | 16.0 | 3728 | 1.6913 | 0.7957 |
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| 0.0001 | 17.0 | 3961 | 1.7076 | 0.7995 |
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| 0.0034 | 18.0 | 4194 | 1.8018 | 0.7960 |
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| 0.0228 | 19.0 | 4427 | 1.7457 | 0.7916 |
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| 0.0083 | 20.0 | 4660 | 1.9279 | 0.7869 |
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| 0.0001 | 21.0 | 4893 | 1.8367 | 0.7915 |
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| 0.0003 | 22.0 | 5126 | 1.8620 | 0.7842 |
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| 0.0002 | 23.0 | 5359 | 1.9192 | 0.7828 |
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| 0.0 | 24.0 | 5592 | 1.9081 | 0.7927 |
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| 0.0003 | 25.0 | 5825 | 1.9822 | 0.7813 |
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| 0.0059 | 26.0 | 6058 | 1.8737 | 0.7954 |
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| 0.0 | 27.0 | 6291 | 1.8793 | 0.7929 |
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| 0.0 | 28.0 | 6524 | 1.8905 | 0.7940 |
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| 0.0 | 29.0 | 6757 | 1.8971 | 0.7940 |
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| 0.0002 | 30.0 | 6990 | 1.9002 | 0.7954 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "roberta-large",
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"architectures": [
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"RobertaForSequenceClassification"
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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": 1024,
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"id2label": {
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"0": "extent",
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"1": "disjunction",
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"2": "concept",
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"3": "comparison",
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"4": "procedural",
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"5": "consequence",
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"6": "judgmental",
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"7": "example",
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"8": "verification",
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"9": "cause"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"cause": 9,
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"comparison": 3,
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"concept": 2,
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"consequence": 5,
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"disjunction": 1,
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"example": 7,
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"extent": 0,
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"judgmental": 6,
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"procedural": 4,
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"verification": 8
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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": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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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": "4.33.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:632e4998b864201d52dc9bb19b649075ce06ceab00b63399c5ab76abf1a8007b
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size 1421615982
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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trainer_state.json
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