Instructions to use Palak/google_electra-small-discriminator_squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Palak/google_electra-small-discriminator_squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Palak/google_electra-small-discriminator_squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Palak/google_electra-small-discriminator_squad") model = AutoModelForQuestionAnswering.from_pretrained("Palak/google_electra-small-discriminator_squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Palak Goenka commited on
Commit 路
cdb6713
1
Parent(s): f7d0aac
add files
Browse files- README.md +53 -0
- all_results.json +11 -0
- config.json +30 -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 +223 -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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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: google_electra-small-discriminator_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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# google_electra-small-discriminator_squad
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This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) 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: 16
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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 4.14.1
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- Pytorch 1.9.0
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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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": 76.95364238410596,
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"eval_f1": 84.98869246841396,
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"eval_samples": 10784,
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"train_loss": 1.262162847499961,
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"train_runtime": 2635.5654,
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"train_samples": 88524,
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"train_samples_per_second": 100.765,
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"train_steps_per_second": 6.298
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}
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config.json
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{
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"_name_or_path": "google/electra-small-discriminator",
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"architectures": [
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"ElectraForQuestionAnswering"
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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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"embedding_size": 128,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "electra",
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"num_attention_heads": 4,
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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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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.14.1",
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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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eval_results.json
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{
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"epoch": 3.0,
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"eval_exact_match": 76.95364238410596,
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"eval_f1": 84.98869246841396,
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"eval_samples": 10784
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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:a664650162a084e5a48dfee5c525a8b1e54dac575cccf38dfd8e4a6effef9e69
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size 54019309
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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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The diff for this file is too large to render.
See raw diff
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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, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "google/electra-small-discriminator", "tokenizer_class": "ElectraTokenizer"}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.262162847499961,
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"train_runtime": 2635.5654,
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"train_samples": 88524,
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"train_samples_per_second": 100.765,
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"train_steps_per_second": 6.298
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}
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trainer_state.json
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vocab.txt
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