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hung200504
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bert-25

Question Answering
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
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bert-cased

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Files changed (8) hide show
  1. README.md +112 -0
  2. config.json +28 -0
  3. pytorch_model.bin +3 -0
  4. special_tokens_map.json +7 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +58 -0
  7. training_args.bin +3 -0
  8. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ base_model: deepset/bert-base-cased-squad2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert-25
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+ results: []
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+ ---
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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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+
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+ # bert-25
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+
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+ This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 10.9150
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 32
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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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 11.2284 | 0.18 | 5 | 12.3262 |
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+ | 10.9876 | 0.36 | 10 | 12.2748 |
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+ | 11.1442 | 0.54 | 15 | 12.2245 |
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+ | 10.9113 | 0.71 | 20 | 12.1755 |
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+ | 10.8104 | 0.89 | 25 | 12.1267 |
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+ | 10.6362 | 1.07 | 30 | 12.0793 |
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+ | 10.8187 | 1.25 | 35 | 12.0330 |
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+ | 10.7052 | 1.43 | 40 | 11.9875 |
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+ | 10.6594 | 1.61 | 45 | 11.9432 |
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+ | 10.6863 | 1.79 | 50 | 11.8997 |
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+ | 10.7858 | 1.96 | 55 | 11.8569 |
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+ | 10.626 | 2.14 | 60 | 11.8158 |
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+ | 10.4246 | 2.32 | 65 | 11.7756 |
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+ | 10.3939 | 2.5 | 70 | 11.7359 |
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+ | 10.7641 | 2.68 | 75 | 11.6970 |
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+ | 10.341 | 2.86 | 80 | 11.6597 |
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+ | 10.3492 | 3.04 | 85 | 11.6228 |
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+ | 10.797 | 3.21 | 90 | 11.5867 |
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+ | 10.3496 | 3.39 | 95 | 11.5514 |
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+ | 10.1967 | 3.57 | 100 | 11.5177 |
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+ | 10.4702 | 3.75 | 105 | 11.4843 |
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+ | 10.3715 | 3.93 | 110 | 11.4521 |
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+ | 10.1039 | 4.11 | 115 | 11.4213 |
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+ | 10.1126 | 4.29 | 120 | 11.3915 |
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+ | 9.9939 | 4.46 | 125 | 11.3625 |
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+ | 10.1773 | 4.64 | 130 | 11.3342 |
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+ | 10.062 | 4.82 | 135 | 11.3068 |
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+ | 10.2641 | 5.0 | 140 | 11.2806 |
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+ | 10.2323 | 5.18 | 145 | 11.2554 |
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+ | 10.037 | 5.36 | 150 | 11.2309 |
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+ | 10.0938 | 5.54 | 155 | 11.2069 |
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+ | 9.8816 | 5.71 | 160 | 11.1845 |
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+ | 10.124 | 5.89 | 165 | 11.1625 |
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+ | 9.873 | 6.07 | 170 | 11.1416 |
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+ | 9.7348 | 6.25 | 175 | 11.1220 |
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+ | 9.9028 | 6.43 | 180 | 11.1028 |
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+ | 9.997 | 6.61 | 185 | 11.0846 |
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+ | 9.9333 | 6.79 | 190 | 11.0676 |
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+ | 9.9954 | 6.96 | 195 | 11.0511 |
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+ | 10.311 | 7.14 | 200 | 11.0356 |
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+ | 9.7617 | 7.32 | 205 | 11.0213 |
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+ | 10.0068 | 7.5 | 210 | 11.0075 |
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+ | 9.6182 | 7.68 | 215 | 10.9949 |
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+ | 9.7642 | 7.86 | 220 | 10.9835 |
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+ | 9.8524 | 8.04 | 225 | 10.9728 |
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+ | 9.7615 | 8.21 | 230 | 10.9630 |
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+ | 9.7559 | 8.39 | 235 | 10.9542 |
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+ | 9.5819 | 8.57 | 240 | 10.9461 |
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+ | 9.5843 | 8.75 | 245 | 10.9392 |
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+ | 10.05 | 8.93 | 250 | 10.9331 |
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+ | 10.0722 | 9.11 | 255 | 10.9276 |
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+ | 9.665 | 9.29 | 260 | 10.9233 |
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+ | 9.7631 | 9.46 | 265 | 10.9197 |
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+ | 9.7963 | 9.64 | 270 | 10.9172 |
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+ | 9.9692 | 9.82 | 275 | 10.9155 |
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+ | 9.885 | 10.0 | 280 | 10.9150 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
config.json ADDED
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+ {
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+ "_name_or_path": "deepset/bert-base-cased-squad2",
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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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+ "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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+ "language": "english",
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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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+ "name": "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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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.34.1",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 28996
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.txt ADDED
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