rjsah09/roberta-base-klue-ynat-classification
Browse files- README.md +61 -0
- config.json +44 -0
- model.safetensors +3 -0
- runs/Jan13_01-11-45_d3cac9f3d222/events.out.tfevents.1736730706.d3cac9f3d222.280.0 +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: cc-by-sa-4.0
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base_model: klue/bert-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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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3885
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- Accuracy: 0.876
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4805 | 1.0 | 1250 | 0.4454 | 0.864 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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config.json
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{
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"_name_or_path": "klue/bert-base",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6"
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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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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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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": "4.47.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9c0ab9693378195bb3642678e9a6c180bd1e6c5f49eea1d3905980c9512c933
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size 442514444
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runs/Jan13_01-11-45_d3cac9f3d222/events.out.tfevents.1736730706.d3cac9f3d222.280.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:61885aa8bcfc7d0e2e47d81a08c9619b66ea8ab3865e621ed265db06551fbb20
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size 5294
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc4dffbfa06383831a202114fac86896375ec25cf30f3551f1d57028a7f0df64
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size 5304
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