rhaymison/bert-squad-portuguese
Browse files- README.md +92 -0
- config.json +26 -0
- model.safetensors +3 -0
- runs/Mar21_13-27-16_60dd32125665/events.out.tfevents.1711027677.60dd32125665.4249.0 +3 -0
- runs/Mar21_13-29-41_60dd32125665/events.out.tfevents.1711027789.60dd32125665.4249.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: finetune-BERT-squad
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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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# finetune-BERT-squad
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5641
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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: 16
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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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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.7626 | 0.08 | 500 | 2.5754 |
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| 2.5464 | 0.16 | 1000 | 2.3808 |
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| 2.4107 | 0.24 | 1500 | 2.2688 |
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| 2.2761 | 0.32 | 2000 | 2.1665 |
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| 2.2131 | 0.41 | 2500 | 2.0738 |
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| 2.1205 | 0.49 | 3000 | 1.9971 |
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| 2.0377 | 0.57 | 3500 | 1.9840 |
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| 2.0069 | 0.65 | 4000 | 1.8964 |
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| 1.9743 | 0.73 | 4500 | 1.8704 |
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| 1.9438 | 0.81 | 5000 | 1.8286 |
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| 1.9039 | 0.89 | 5500 | 1.8021 |
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| 1.8537 | 0.97 | 6000 | 1.7742 |
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| 1.6983 | 1.06 | 6500 | 1.7601 |
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| 1.6149 | 1.14 | 7000 | 1.7156 |
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| 1.5687 | 1.22 | 7500 | 1.7334 |
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| 1.6083 | 1.3 | 8000 | 1.6960 |
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| 1.6093 | 1.38 | 8500 | 1.6979 |
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| 1.6001 | 1.46 | 9000 | 1.6654 |
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| 1.5706 | 1.54 | 9500 | 1.6478 |
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| 1.5379 | 1.62 | 10000 | 1.6440 |
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| 1.5143 | 1.7 | 10500 | 1.6111 |
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| 1.4894 | 1.79 | 11000 | 1.6249 |
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| 1.5061 | 1.87 | 11500 | 1.5881 |
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| 1.4999 | 1.95 | 12000 | 1.5907 |
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| 1.3902 | 2.03 | 12500 | 1.5939 |
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| 1.2689 | 2.11 | 13000 | 1.6066 |
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| 1.2791 | 2.19 | 13500 | 1.5989 |
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| 1.2811 | 2.27 | 14000 | 1.6070 |
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| 1.2999 | 2.35 | 14500 | 1.5910 |
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| 1.248 | 2.44 | 15000 | 1.6142 |
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| 1.2373 | 2.52 | 15500 | 1.5919 |
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| 1.2767 | 2.6 | 16000 | 1.5836 |
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| 1.2809 | 2.68 | 16500 | 1.5665 |
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| 1.267 | 2.76 | 17000 | 1.5690 |
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| 1.2798 | 2.84 | 17500 | 1.5629 |
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| 1.26 | 2.92 | 18000 | 1.5641 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForQuestionAnswering"
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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": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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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 sha256:51646d96c89d938829ea65ac9778511b50f2e7a6bbde549421f2ac54170cfd1e
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size 435596088
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runs/Mar21_13-27-16_60dd32125665/events.out.tfevents.1711027677.60dd32125665.4249.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:26c0a3c10cb352c983436d73483d4956ca9b121710a0b4672fbc16717eec42b0
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size 4563
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runs/Mar21_13-29-41_60dd32125665/events.out.tfevents.1711027789.60dd32125665.4249.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:5bc82c4f365f49e5e115fe2f5e698fd6e8f249b48b547c5f1cd98144dc267b64
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size 22309
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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.json
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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_lower_case": true,
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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": "[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:be0af72b66ab726ffbf9d140a20b31ae5efebdff236f0cca3533941ce559917d
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size 4856
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vocab.txt
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