frankkuete
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Commit
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Parent(s):
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Upload with huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +51 -1
- all_results.json +25 -0
- config.json +30 -0
- predict_nbest_predictions.json +3 -0
- predict_null_odds.json +0 -0
- predict_predictions.json +0 -0
- predict_results.json +19 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- train_results.json +8 -0
- trainer_state.json +367 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* 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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*.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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predict_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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-
license:
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---
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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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- cuad
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model-index:
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- name: electra-large
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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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# electra-large
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This model is a fine-tuned version of [google/electra-large-discriminator](https://huggingface.co/google/electra-large-discriminator) on the cuad 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: 1e-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: 6.0
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### Training results
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu117
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- Datasets 2.11.0
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- Tokenizers 0.13.2
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all_results.json
ADDED
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{
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"epoch": 6.0,
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"predict_samples": 200910,
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"test_HasAns_exact": 73.47266881028939,
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+
"test_HasAns_f1": 84.84782944132844,
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"test_HasAns_total": 1244,
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"test_NoAns_exact": 77.19537100068074,
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"test_NoAns_f1": 77.19537100068074,
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"test_NoAns_total": 2938,
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"test_best_exact": 76.42276422764228,
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"test_best_exact_thresh": 0.0,
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"test_best_f1": 79.78743515239424,
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"test_best_f1_thresh": 0.0,
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"test_exact": 76.0879961740794,
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"test_f1": 79.4717120576309,
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"test_runtime": 4793.2495,
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"test_samples_per_second": 41.915,
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"test_steps_per_second": 1.31,
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"test_total": 4182,
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"train_loss": 0.6195740632728837,
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"train_runtime": 17430.5797,
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"train_samples": 38499,
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"train_samples_per_second": 13.252,
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"train_steps_per_second": 1.657
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}
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config.json
ADDED
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{
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"_name_or_path": "google/electra-large-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": 1024,
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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": "electra",
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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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"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": "4.27.4",
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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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predict_nbest_predictions.json
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d50b495008e7b39dcd181811de67446208cf53004cf12287c97082c9fefa6bd
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size 45512922
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predict_null_odds.json
ADDED
The diff for this file is too large to render.
See raw diff
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predict_predictions.json
ADDED
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predict_results.json
ADDED
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{
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"predict_samples": 200910,
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"test_HasAns_exact": 73.47266881028939,
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"test_HasAns_f1": 84.84782944132844,
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"test_HasAns_total": 1244,
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"test_NoAns_exact": 77.19537100068074,
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"test_NoAns_f1": 77.19537100068074,
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"test_NoAns_total": 2938,
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"test_best_exact": 76.42276422764228,
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"test_best_exact_thresh": 0.0,
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"test_best_f1": 79.78743515239424,
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"test_best_f1_thresh": 0.0,
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"test_exact": 76.0879961740794,
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"test_f1": 79.4717120576309,
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"test_runtime": 4793.2495,
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"test_samples_per_second": 41.915,
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"test_steps_per_second": 1.31,
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"test_total": 4182
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}
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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:803eb15fb2b4e00b67a3ccf1d4a68ed4a2e18049b88f717dc7bcbb6d816ccb5e
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size 1336516717
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special_tokens_map.json
ADDED
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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
ADDED
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See raw diff
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tokenizer_config.json
ADDED
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{
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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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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "ElectraTokenizer",
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"unk_token": "[UNK]",
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"use_fast": true
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}
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train_results.json
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{
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"epoch": 6.0,
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"train_loss": 0.6195740632728837,
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"train_runtime": 17430.5797,
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"train_samples": 38499,
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"train_samples_per_second": 13.252,
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"train_steps_per_second": 1.657
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}
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trainer_state.json
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},
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{
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},
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{
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