eraldoluis
commited on
Commit
•
1e5d80c
1
Parent(s):
61c9406
First version
Browse files- .gitattributes +1 -0
- README.md +69 -0
- all_results.json +11 -0
- config.json +32 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- train_results.json +8 -0
- trainer_state.json +133 -0
- training_args.bin +0 -0
- vocab.txt +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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language: br
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library_name: transformers
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tags:
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- question-answering
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datasets:
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- eraldoluis/faquad
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metrics:
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- squad
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model-index:
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- name: faquad-bert-base-portuguese-cased
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results:
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- task:
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type: extractive-qa
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name: Extractive Question-Answering
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dataset:
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type: eraldoluis/faquad
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name: FaQuAD
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split: eval
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metrics:
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- type: squad
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value:
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- f1: 83.0912959832023
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exact_match: 74.53169347209082
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name: Eval F1 and ExactMatch
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verified: false
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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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# tmp_exs_faquad
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This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the [FaQuAD dataset](https://huggingface.co/datasets/eraldoluis/faquad).
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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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The model was trained on the `train` split and evaluated on the `eval` split.
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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: 3e-05
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- train_batch_size: 64
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- eval_batch_size: 32
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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: 3.0
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### Training results
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### Framework versions
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- Transformers 4.21.3
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- Pytorch 1.12.1+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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all_results.json
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{
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"epoch": 3.0,
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"eval_exact_match": 74.53169347209082,
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"eval_f1": 83.0912959832023,
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"eval_samples": 12198,
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"train_loss": 1.1721088012826149,
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"train_runtime": 6793.9155,
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"train_samples": 99470,
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"train_samples_per_second": 43.923,
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"train_steps_per_second": 0.687
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}
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config.json
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{
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"_name_or_path": "neuralmind/bert-base-portuguese-cased",
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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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"directionality": "bidi",
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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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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.21.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 29794
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}
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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:d7caff164835d55e8d5cab822d83e6832ad27cc30ccb2bda330ee09da011bda4
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size 433406769
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special_tokens_map.json
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{
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tokenizer.json
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tokenizer_config.json
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train_results.json
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trainer_state.json
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training_args.bin
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vocab.txt
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