d1mitriz
commited on
Commit
·
4f4f462
1
Parent(s):
f49ad81
First version of the your-model-name model and tokenizer.
Browse files- .gitignore +5 -0
- README.md +53 -0
- config.json +26 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.txt +0 -0
.gitignore
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/all_results.json
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/eval_results.json
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/training_args.bin
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/trainer_state.json
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/train_results.json
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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: greek-media-bert-base-uncased
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---
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# Greek Media BERT
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This model is a domain-adapted version of [nlpaueb/bert-base-greek-uncased-v1](https://huggingface.co/nlpaueb/bert-base-greek-uncased-v1) on Greek media centric dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1287
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- Accuracy: 0.7616
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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: 5e-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: 3.0
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### Training results
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### Framework versions
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- Transformers 4.21.0.dev0
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- Pytorch 1.12.0+cu116
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- Tensorflow 2.11.0
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "greek-media-bert-base-uncased",
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"architectures": [
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"BertModel"
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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": "4.26.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 35000
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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 sha256:672c4954b31b66e6e81880267dd00ac7ef08f979512b6ee8e393300cc3b0722c
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size 451753773
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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:c11767d4c8cf31d4fa77a31ca567994e15f19c9709bbb9c0e7f7cace9f860a9e
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size 451952616
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "greek-media-bert-base-uncased",
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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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"special_tokens_map_file": "special_tokens_map.json",
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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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vocab.txt
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