Training in progress epoch 0
Browse files- README.md +54 -0
- config.json +31 -0
- logs/train/events.out.tfevents.1677077867.3a45931a096e.264.0.v2 +3 -0
- logs/validation/events.out.tfevents.1677077951.3a45931a096e.264.1.v2 +3 -0
- special_tokens_map.json +7 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: stenio123/distilbert-base-uncased-finetuned-cola
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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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# stenio123/distilbert-base-uncased-finetuned-cola
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.5172
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- Validation Loss: 0.4925
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- Train Matthews Correlation: 0.4362
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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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1602, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
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|:----------:|:---------------:|:--------------------------:|:-----:|
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| 0.5172 | 0.4925 | 0.4362 | 0 |
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### Framework versions
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- Transformers 4.26.1
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- TensorFlow 2.11.0
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- Datasets 2.10.0
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "Invalid",
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"1": "Valid"
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},
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"initializer_range": 0.02,
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"label2id": {
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"Invalid": 0,
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"Valid": 1
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.26.1",
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"vocab_size": 30522
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}
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logs/train/events.out.tfevents.1677077867.3a45931a096e.264.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:85819e98bd51a2a77bd7be4377f70b8ee71796343644a3f2989b4653c0b599d8
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size 1908083
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logs/validation/events.out.tfevents.1677077951.3a45931a096e.264.1.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:7423eaecb94d4e234562e656d5fa6d918fecf8bb2b9c5088c3f1b80f4cf0fec4
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size 194
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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 sha256:6c9246a79a5890125aa1381d562058f291f42b471347fd564952888f86864277
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size 267951896
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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_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "distilbert-base-uncased",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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