rollerhafeezh-amikom
commited on
Commit
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Training complete
Browse files- README.md +62 -0
- config.json +40 -0
- model.safetensors +3 -0
- runs/Jun28_12-54-37_server-cvis/events.out.tfevents.1719554101.server-cvis.3099399.0 +3 -0
- runs/Jun28_13-12-35_server-cvis/events.out.tfevents.1719555158.server-cvis.3116118.0 +3 -0
- runs/Jun28_14-30-27_server-cvis/events.out.tfevents.1719559830.server-cvis.3177704.0 +3 -0
- runs/Jun28_14-38-54_server-cvis/events.out.tfevents.1719560337.server-cvis.3185879.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -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: distilbert/distilbert-base-multilingual-cased
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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: distilbert-base-multilingual-cased-language-detection-silvanus
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilbert-base-multilingual-cased-language-detection-silvanus
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This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0268
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- Accuracy: 0.9960
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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: 2e-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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- 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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 274 | 0.0342 | 0.9940 |
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| 0.1401 | 2.0 | 548 | 0.0270 | 0.9960 |
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| 0.1401 | 3.0 | 822 | 0.0268 | 0.9960 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "distilbert/distilbert-base-multilingual-cased",
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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": "id",
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"1": "en",
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"2": "es",
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"3": "it",
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"4": "sk"
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},
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"initializer_range": 0.02,
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"label2id": {
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"en": 1,
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"es": 2,
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"id": 0,
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"it": 3,
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"sk": 4
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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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"output_past": true,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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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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"torch_dtype": "float32",
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"transformers_version": "4.35.0",
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"vocab_size": 119547
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7f86040efa3c30e94e206f780efb788e8c8f3bdf53b2d25719e7a6d8b296f7c
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size 541326604
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runs/Jun28_12-54-37_server-cvis/events.out.tfevents.1719554101.server-cvis.3099399.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2f008c4310e004d08451532df75b648da9298b609586f854a5fd54fcc7052726
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size 6161
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runs/Jun28_13-12-35_server-cvis/events.out.tfevents.1719555158.server-cvis.3116118.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c56d377cfc7130cbe6e1a05cfbf99a94e34e4d502deb4ca06093e2bd5ef7807
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size 4136
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runs/Jun28_14-30-27_server-cvis/events.out.tfevents.1719559830.server-cvis.3177704.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b84c4908f262206a2fd9177f0f903c99876ceb03f2de6e7d27b87e27892cd89
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size 4136
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runs/Jun28_14-38-54_server-cvis/events.out.tfevents.1719560337.server-cvis.3185879.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c2ffa25ee93ee49e7149db825bfa3f974c97efdfe8a6cd220171d4962788d5c
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size 5887
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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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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": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fab7a3063f6f8deca3f2da77e14aa2b835d0e721aa6800458a1a6c63beaa9d99
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size 4664
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vocab.txt
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