logoyazilim
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Upload 14 files
Browse files- .gitattributes +1 -0
- README.md +55 -0
- all_results.json +14 -0
- config.json +27 -0
- eval_nbest_predictions.json +3 -0
- eval_predictions.json +0 -0
- eval_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- train_results.json +8 -0
- trainer_state.json +280 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
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@@ -33,3 +33,4 @@ 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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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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base_model: savasy/bert-base-turkish-squad
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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: debug_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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# debug_squad
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This model is a fine-tuned version of [savasy/bert-base-turkish-squad](https://huggingface.co/savasy/bert-base-turkish-squad) 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: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 8.0
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### Training results
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 1.12.1+cu116
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- Datasets 2.14.5
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- Tokenizers 0.12.1
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all_results.json
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{
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"epoch": 8.0,
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"eval_exact_match": 2.563859981078524,
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"eval_f1": 19.320258630812454,
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"eval_runtime": 649.8647,
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"eval_samples": 11143,
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"eval_samples_per_second": 17.147,
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"eval_steps_per_second": 2.144,
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"train_loss": 0.4928509355450291,
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"train_runtime": 318615.5226,
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"train_samples": 84377,
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"train_samples_per_second": 2.119,
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"train_steps_per_second": 0.066
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}
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config.json
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{
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"_name_or_path": "savasy/bert-base-turkish-squad",
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"_num_labels": 2,
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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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"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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"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": "4.33.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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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:ab06e7c58a27c18cfa485f00337306679827584e8a01349bdf811d2d8eddb444
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size 48627108
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eval_predictions.json
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The diff for this file is too large to render.
See raw diff
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eval_results.json
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{
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"eval_samples_per_second": 17.147,
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"eval_steps_per_second": 2.144
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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 sha256:4441ee75e2f0f52e4582185c6a4369fe9d0a0b3011ca7a02a36e7f6845e891b2
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size 440179187
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special_tokens_map.json
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tokenizer.json
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See raw diff
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tokenizer_config.json
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train_results.json
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trainer_state.json
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