End of training
Browse files- README.md +60 -0
- config.json +33 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Jul07_19-26-47_0d315b962e01/events.out.tfevents.1720380428.0d315b962e01.392.0 +3 -0
- runs/Jul07_19-47-08_0d315b962e01/events.out.tfevents.1720381651.0d315b962e01.6284.0 +3 -0
- runs/Jul07_19-49-17_0d315b962e01/events.out.tfevents.1720381778.0d315b962e01.6284.1 +3 -0
- runs/Jul07_19-50-53_0d315b962e01/events.out.tfevents.1720381893.0d315b962e01.7411.0 +3 -0
- runs/Jul07_19-50-53_0d315b962e01/events.out.tfevents.1720383426.0d315b962e01.7411.1 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: DTAI-KULeuven/robbert-2023-dutch-base
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tags:
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- generated_from_trainer
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model-index:
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- name: robbert-cosmetic-v2-finetuned
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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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# robbert-cosmetic-v2-finetuned
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This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-base](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8067
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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: 8
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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: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1115 | 1.0 | 1138 | 0.9439 |
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| 0.9211 | 2.0 | 2276 | 0.8347 |
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| 0.8507 | 3.0 | 3414 | 0.8025 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "DTAI-KULeuven/robbert-2023-dutch-base",
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"additional_special_tokens_ids": [],
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"architectures": [
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"RobertaForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"cls_token_id": 0,
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"eos_token_id": 3,
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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-05,
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"mask_token_id": 4,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"sep_token_id": 3,
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"tokenizer_class": "RobertaTokenizerFast",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"type_vocab_size": 1,
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"unk_token_id": 2,
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"use_cache": true,
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"vocab_size": 50000
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}
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merges.txt
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model.safetensors
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special_tokens_map.json
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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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vocab.json
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