Model save
Browse files- README.md +64 -0
- config.json +40 -0
- model.safetensors +3 -0
- runs/Sep04_14-19-57_1e725cdda00d/events.out.tfevents.1725459603.1e725cdda00d.584.0 +3 -0
- runs/Sep04_14-20-54_1e725cdda00d/events.out.tfevents.1725459656.1e725cdda00d.584.1 +3 -0
- runs/Sep04_14-21-52_1e725cdda00d/events.out.tfevents.1725459713.1e725cdda00d.584.2 +3 -0
- runs/Sep04_14-22-11_1e725cdda00d/events.out.tfevents.1725459732.1e725cdda00d.584.3 +3 -0
- runs/Sep04_14-22-11_1e725cdda00d/events.out.tfevents.1725461114.1e725cdda00d.584.4 +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: bert-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: darija_test7
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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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# darija_test7
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This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-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: 0.0113
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- Accuracy: 0.9963
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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: 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: 5
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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 | 272 | 0.1554 | 0.9669 |
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| 0.0964 | 2.0 | 544 | 0.0143 | 0.9963 |
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| 0.0964 | 3.0 | 816 | 0.0113 | 0.9963 |
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| 0.0246 | 4.0 | 1088 | 0.0130 | 0.9982 |
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| 0.0246 | 5.0 | 1360 | 0.0143 | 0.9982 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "bert-base-multilingual-cased",
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"architectures": [
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"BertForSequenceClassification"
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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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"directionality": "bidi",
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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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"id2label": {
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"0": "*6",
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"1": "autre"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"*6": 0,
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"autre": 1
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},
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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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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"type_vocab_size": 2,
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"use_cache": true,
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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:aff2072d34e2df97662033a8a0bc20cfcb319276351363c739cf6d387a7a59ca
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size 711443456
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runs/Sep04_14-19-57_1e725cdda00d/events.out.tfevents.1725459603.1e725cdda00d.584.0
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runs/Sep04_14-20-54_1e725cdda00d/events.out.tfevents.1725459656.1e725cdda00d.584.1
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runs/Sep04_14-21-52_1e725cdda00d/events.out.tfevents.1725459713.1e725cdda00d.584.2
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version https://git-lfs.github.com/spec/v1
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runs/Sep04_14-22-11_1e725cdda00d/events.out.tfevents.1725459732.1e725cdda00d.584.3
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version https://git-lfs.github.com/spec/v1
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runs/Sep04_14-22-11_1e725cdda00d/events.out.tfevents.1725461114.1e725cdda00d.584.4
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version https://git-lfs.github.com/spec/v1
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size 411
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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": "BertTokenizer",
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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:a05c7cc1161ed5ab3b195b35e927a2841f7e7a6227d5170525fe2e42603c4f44
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size 5112
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vocab.txt
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