Commit
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Parent(s):
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Training in progress epoch 0
Browse files- README.md +54 -0
- config.json +25 -0
- logs/train/events.out.tfevents.1703285244.02244307c859.394.0.v2 +3 -0
- logs/validation/events.out.tfevents.1703285856.02244307c859.394.1.v2 +3 -0
- special_tokens_map.json +7 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- generated_from_keras_callback
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model-index:
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- name: userdiawatch/bert-base-cased-finetuned-wikitext2
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# userdiawatch/bert-base-cased-finetuned-wikitext2
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 7.4360
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- Validation Loss: 7.0646
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- Epoch: 0
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 7.4360 | 7.0646 | 0 |
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### Framework versions
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- Transformers 4.35.2
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- TensorFlow 2.15.0
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "bert-base-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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"gradient_checkpointing": false,
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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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"transformers_version": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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logs/train/events.out.tfevents.1703285244.02244307c859.394.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:37710f76a8e7788123ea34c0527fec3b3c4dd44f6cdaca81751d4ddf6cf5c2f5
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size 2318975
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logs/validation/events.out.tfevents.1703285856.02244307c859.394.1.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:27be089fc32786789742c875634d0c0dce6619899ca6ba0dd268150bedb820e7
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size 232
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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:ff6b16da13ec2a59b2bfb39985ed0879554ae4e863b77e60007e3cf573032791
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size 524305768
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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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"100": {
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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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"101": {
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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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"102": {
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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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"103": {
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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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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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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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vocab.txt
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