End of training
Browse files- README.md +106 -0
- config.json +37 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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library_name: transformers
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base_model: nreimers/BERT-Tiny_L-2_H-128_A-2
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tags:
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- generated_from_trainer
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model-index:
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- name: bert_tiny_trained
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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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# bert_tiny_trained
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This model is a fine-tuned version of [nreimers/BERT-Tiny_L-2_H-128_A-2](https://huggingface.co/nreimers/BERT-Tiny_L-2_H-128_A-2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8101
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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 OptimizerNames.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: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 2 | 1.0244 |
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| No log | 2.0 | 4 | 1.0190 |
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| No log | 3.0 | 6 | 1.0148 |
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| No log | 4.0 | 8 | 1.0122 |
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| No log | 5.0 | 10 | 1.0101 |
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| No log | 6.0 | 12 | 1.0061 |
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| No log | 7.0 | 14 | 1.0020 |
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| No log | 8.0 | 16 | 0.9957 |
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| No log | 9.0 | 18 | 0.9890 |
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| No log | 10.0 | 20 | 0.9804 |
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| No log | 11.0 | 22 | 0.9692 |
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| No log | 12.0 | 24 | 0.9561 |
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| No log | 13.0 | 26 | 0.9443 |
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| No log | 14.0 | 28 | 0.9345 |
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| No log | 15.0 | 30 | 0.9262 |
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| No log | 16.0 | 32 | 0.9178 |
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| No log | 17.0 | 34 | 0.9089 |
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| No log | 18.0 | 36 | 0.9011 |
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| No log | 19.0 | 38 | 0.8937 |
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| No log | 20.0 | 40 | 0.8868 |
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| No log | 21.0 | 42 | 0.8807 |
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| No log | 22.0 | 44 | 0.8757 |
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| No log | 23.0 | 46 | 0.8714 |
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| No log | 24.0 | 48 | 0.8671 |
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| No log | 25.0 | 50 | 0.8626 |
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| No log | 26.0 | 52 | 0.8581 |
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| No log | 27.0 | 54 | 0.8537 |
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| No log | 28.0 | 56 | 0.8499 |
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| No log | 29.0 | 58 | 0.8457 |
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| No log | 30.0 | 60 | 0.8423 |
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| No log | 31.0 | 62 | 0.8395 |
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| No log | 32.0 | 64 | 0.8364 |
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| No log | 33.0 | 66 | 0.8334 |
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| No log | 34.0 | 68 | 0.8307 |
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| No log | 35.0 | 70 | 0.8281 |
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| No log | 36.0 | 72 | 0.8259 |
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| No log | 37.0 | 74 | 0.8238 |
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| No log | 38.0 | 76 | 0.8223 |
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| No log | 39.0 | 78 | 0.8206 |
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| No log | 40.0 | 80 | 0.8192 |
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| No log | 41.0 | 82 | 0.8181 |
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| No log | 42.0 | 84 | 0.8170 |
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| No log | 43.0 | 86 | 0.8159 |
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| No log | 44.0 | 88 | 0.8146 |
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| No log | 45.0 | 90 | 0.8134 |
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| No log | 46.0 | 92 | 0.8122 |
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| No log | 47.0 | 94 | 0.8115 |
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| No log | 48.0 | 96 | 0.8108 |
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| No log | 49.0 | 98 | 0.8102 |
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| No log | 50.0 | 100 | 0.8101 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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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": "nreimers/BERT-Tiny_L-2_H-128_A-2",
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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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"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": 128,
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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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"initializer_range": 0.02,
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"intermediate_size": 512,
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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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},
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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": 2,
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"num_hidden_layers": 2,
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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": "4.48.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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:c818cf7aa403918ad77dd97938282b3e40df58b610b4b70460cbd2e891021263
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size 17549828
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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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:c1c6aa383d5edb6cb7350ad8b1b1637211abf9109f4958da1645f937883f1f18
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size 5304
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vocab.txt
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