anas-awadalla
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Browse files- README.md +52 -0
- all_results.json +11 -0
- config.json +26 -0
- eval_predictions.json +0 -0
- eval_results.json +6 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +289 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- squad
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model-index:
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- name: spanbert-large-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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# spanbert-large-squad
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This model is a fine-tuned version of [SpanBERT/spanbert-large-cased](https://huggingface.co/SpanBERT/spanbert-large-cased) on the squad dataset.
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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: 3e-05
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- train_batch_size: 8
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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: 2.0
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### Training results
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### Framework versions
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- Transformers 4.18.0.dev0
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- Pytorch 1.11.0+cu113
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- Datasets 2.0.0
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- Tokenizers 0.11.6
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all_results.json
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{
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"epoch": 2.0,
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"eval_exact_match": 87.30368968779565,
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"eval_f1": 93.42445743768727,
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"eval_samples": 10895,
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"train_loss": 0.7862384369251657,
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"train_runtime": 27653.2865,
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"train_samples": 89357,
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"train_samples_per_second": 6.463,
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"train_steps_per_second": 0.808
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}
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config.json
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{
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"_name_or_path": "SpanBERT/spanbert-large-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": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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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": 16,
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"num_hidden_layers": 24,
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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": "4.18.0.dev0",
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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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eval_predictions.json
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eval_results.json
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{
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"epoch": 2.0,
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"eval_exact_match": 87.30368968779565,
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"eval_f1": 93.42445743768727,
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"eval_samples": 10895
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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:edbe961db66da5afe4bdf74b56b3cad7a671fc7277448063f652f55d014cb43f
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size 1330289585
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "SpanBERT/spanbert-large-cased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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train_results.json
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"train_steps_per_second": 0.808
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}
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trainer_state.json
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