christopher
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Training in progress epoch 0
Browse files- README.md +55 -0
- config.json +39 -0
- logs/train/events.out.tfevents.1650896957.desktop.247.0.v2 +3 -0
- logs/validation/events.out.tfevents.1650897019.desktop.247.1.v2 +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -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: cakiki/distilbert-base-uncased-finetuned-tweet-sentiment
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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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# cakiki/distilbert-base-uncased-finetuned-tweet-sentiment
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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: 0.5409
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- Train Sparse Categorical Accuracy: 0.8158
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- Validation Loss: 0.2115
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- Validation Sparse Categorical Accuracy: 0.9265
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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', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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| 0.5409 | 0.8158 | 0.2115 | 0.9265 | 0 |
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### Framework versions
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- Transformers 4.18.0
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- TensorFlow 2.9.0-rc0
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- Datasets 2.1.0
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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": "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": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5
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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": "4.18.0",
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"vocab_size": 30522
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}
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logs/train/events.out.tfevents.1650896957.desktop.247.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:d401cfda3894fc42fe36b756d0558796ec9177c020e73f2ee4adcaf42daa309f
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size 1495580
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logs/validation/events.out.tfevents.1650897019.desktop.247.1.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b8d1735b19b962bf850cbc0fa7aa2bb1d18c69a5af34fca85fa3555e8550edc
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size 394
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:640f08f17c794eb7fcdca16dfc28c71009fd026a36a03dab02f683c514100f34
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size 267964184
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tokenizer_config.json
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{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}
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vocab.txt
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