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Browse files- README.md +59 -0
- added_tokens.json +0 -0
- config.json +25 -0
- generation_config.json +5 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: mit
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base_model: bert-base-german-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-job-german-extended
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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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# bert-job-german-extended
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This model is a fine-tuned version of [bert-base-german-cased](https://huggingface.co/bert-base-german-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0548
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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: 2e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 2.4898 | 1.0 | 8053 | 2.3464 |
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| 2.2394 | 2.0 | 16106 | 2.1204 |
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| 2.1788 | 3.0 | 24159 | 2.0548 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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added_tokens.json
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config.json
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{
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"_name_or_path": "bert-base-german-cased",
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"architectures": [
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"BertForMaskedLM"
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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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"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": "4.38.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 33957
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}
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.38.1"
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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 sha256:92751f67e26f6477bbca020ecc3c99585f912f87c5bd05b9828684397c11d7ec
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size 448646964
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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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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e43c8e760088548281f9aafa1d6ec46ff009c6dbb74ee8b22817977b97998fc
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size 4920
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vocab.txt
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