Upload 15 files
Browse files- .gitattributes +1 -0
- README.md +52 -3
- all_results.json +22 -0
- config.json +27 -0
- eval_nbest_predictions.json +3 -0
- eval_null_odds.json +0 -0
- eval_predictions.json +0 -0
- eval_results.json +17 -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 +289 -0
- training_args.bin +3 -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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*.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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eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
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README.md
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-
---
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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_v2
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model-index:
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- name: matbert-lr3-seed16
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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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# matbert-lr3-seed16
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This model is a fine-tuned version of [/scratch/project_2006183/matilda/finetune-msb-qa/finetuning-scripts/matbert-base-uncased](https://huggingface.co//scratch/project_2006183/matilda/finetune-msb-qa/finetuning-scripts/matbert-base-uncased) on the squad_v2 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: 12
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- eval_batch_size: 8
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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 4.20.1
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- Pytorch 1.12.0+cu116
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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all_results.json
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{
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"epoch": 2.0,
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"eval_HasAns_exact": 69.88866396761134,
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"eval_HasAns_f1": 76.60602930598823,
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"eval_HasAns_total": 5928,
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"eval_NoAns_exact": 77.44322960470984,
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"eval_NoAns_f1": 77.44322960470984,
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"eval_NoAns_total": 5945,
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"eval_best_exact": 73.67977764676156,
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"eval_best_exact_thresh": 0.0,
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"eval_best_f1": 77.03365128660806,
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"eval_best_f1_thresh": 0.0,
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"eval_exact": 73.67135517560853,
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"eval_f1": 77.02522881545504,
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"eval_samples": 12290,
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"eval_total": 11873,
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"train_loss": 1.043660425004505,
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"train_runtime": 7588.3192,
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"train_samples": 133054,
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"train_samples_per_second": 35.068,
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"train_steps_per_second": 2.922
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}
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config.json
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{
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"_name_or_path": "/scratch/project_2006183/matilda/finetune-msb-qa/finetuning-scripts/matbert-base-uncased",
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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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"gradient_checkpointing": false,
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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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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"total_flos": 4.5890014442789274e+17,
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"transformers_version": "4.20.1",
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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_nbest_predictions.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c3b3dc7e8b566fc14ccef8811f0f4744dc9f6f5969dbba385b8ce433a2514c4
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size 55549023
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eval_null_odds.json
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The diff for this file is too large to render.
See raw diff
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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_HasAns_exact": 69.88866396761134,
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"eval_HasAns_f1": 76.60602930598823,
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"eval_HasAns_total": 5928,
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"eval_NoAns_exact": 77.44322960470984,
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"eval_NoAns_f1": 77.44322960470984,
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"eval_NoAns_total": 5945,
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"eval_best_exact": 73.67977764676156,
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"eval_best_exact_thresh": 0.0,
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"eval_best_f1": 77.03365128660806,
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"eval_best_f1_thresh": 0.0,
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"eval_exact": 73.67135517560853,
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"eval_f1": 77.02522881545504,
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"eval_samples": 12290,
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"eval_total": 11873
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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:eea4e3d45c502736d913e8db69bf35cf975901c449dc6e998001a7b9734d1672
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size 435643185
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special_tokens_map.json
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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
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"name_or_path": "/scratch/project_2006183/matilda/finetune-msb-qa/finetuning-scripts/matbert-base-uncased",
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"never_split": null,
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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": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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train_results.json
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{
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"epoch": 2.0,
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"train_loss": 1.043660425004505,
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"train_runtime": 7588.3192,
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"train_samples": 133054,
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"train_samples_per_second": 35.068,
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"train_steps_per_second": 2.922
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}
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trainer_state.json
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