olipol/smaug_part1
Browse files- README.md +66 -0
- config.json +27 -0
- model.safetensors +3 -0
- runs/Dec13_00-57-42_DESKTOP-HMVHQ8L/events.out.tfevents.1734047864.DESKTOP-HMVHQ8L.16672.0 +3 -0
- runs/Dec13_01-16-45_DESKTOP-HMVHQ8L/events.out.tfevents.1734049007.DESKTOP-HMVHQ8L.29052.0 +3 -0
- runs/Dec13_01-18-46_DESKTOP-HMVHQ8L/events.out.tfevents.1734049129.DESKTOP-HMVHQ8L.25736.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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library_name: transformers
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base_model: dkleczek/bert-base-polish-cased-v1
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tags:
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- generated_from_trainer
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model-index:
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- name: smaug_part1_v2
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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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# smaug_part1_v2
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This model is a fine-tuned version of [dkleczek/bert-base-polish-cased-v1](https://huggingface.co/dkleczek/bert-base-polish-cased-v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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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: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0312 | 1.0 | 662 | 0.0291 |
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| 0.0057 | 2.0 | 1324 | 0.0001 |
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| 0.0007 | 3.0 | 1986 | 0.1799 |
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| 0.0007 | 4.0 | 2648 | 0.0000 |
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| 0.0 | 5.0 | 3310 | 0.0000 |
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| 0.0 | 6.0 | 3972 | 0.0000 |
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| 0.0 | 7.0 | 4634 | 0.0000 |
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| 0.0 | 8.0 | 5296 | 0.0000 |
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| 0.0 | 9.0 | 5958 | 0.0000 |
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| 0.0 | 10.0 | 6620 | 0.0000 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu118
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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config.json
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{
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"_name_or_path": "dkleczek/bert-base-polish-cased-v1",
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"architectures": [
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"BertForSequenceClassification"
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.46.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 60000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:02433795e42392f791dee71ca38a15ed3e6eed4e103b33887043d3dd8ce58b2a
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size 528515072
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runs/Dec13_00-57-42_DESKTOP-HMVHQ8L/events.out.tfevents.1734047864.DESKTOP-HMVHQ8L.16672.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9f93619bbb4ff9bfcc401345d7ade79b74d45b0a6c22645aa562cba9b22301a
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size 5052
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runs/Dec13_01-16-45_DESKTOP-HMVHQ8L/events.out.tfevents.1734049007.DESKTOP-HMVHQ8L.29052.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f12a9d4e568b3051adac79c2f7d92d4f6d70579e55cdb0e1cd4d25e2e7335386
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size 5054
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runs/Dec13_01-18-46_DESKTOP-HMVHQ8L/events.out.tfevents.1734049129.DESKTOP-HMVHQ8L.25736.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfd525ebc0838cb1fb4482e9325df419b6bb753123eaf2c977e0c7cb26996e2e
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size 10859
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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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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"4": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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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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"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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:31a2db91ab977765af1e9e66744de04ebbcc57e53a2b83985293d65d12258b80
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size 5304
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vocab.txt
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