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Final model pretrained on the greek-longformer after 3 epochs
Browse files- README.md +18 -20
- config.json +1 -1
- merges.txt +0 -0
- pytorch_model.bin +2 -2
- tf_model.h5 +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +0 -1
- vocab.json +0 -0
README.md
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---
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language:
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- el
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tags:
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- text
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- language-modeling
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metrics:
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- accuracy
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model-index:
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- name: longformer
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---
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should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-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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- gradient_accumulation_steps:
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- total_train_batch_size:
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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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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch
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- Datasets 2.
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- Tokenizers 0.13.2
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---
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language:
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- el
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tags:
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- text
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- language-modeling
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metrics:
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- accuracy
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model-index:
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- name: greek-media-longformer-base-4096-uncased
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results: []
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---
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# Greek Media Longformer
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This model is a second-stage pretrained version of [dimitriz/greek-longformer-base-4096](https://huggingface.co/dimitriz/greek-longformer-base-4096) trained on the [dimitriz/greek_media_texts](https://huggingface.co/datasets/dimitriz/greek_media_texts) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1910
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- Accuracy: 0.7482
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.28.0.dev0
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.2
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config.json
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"type_vocab_size": 2,
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"vocab_size":
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}
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"type_vocab_size": 2,
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"vocab_size": 52000
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}
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merges.txt
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pytorch_model.bin
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tf_model.h5
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tokenizer.json
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tokenizer_config.json
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"single_word": false
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},
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"model_max_length": 4096,
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"name_or_path": "greek-media-longformer-4096",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"single_word": false
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},
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"model_max_length": 4096,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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vocab.json
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