mehdie/fine_tuned_mBERT
Browse files- README.md +73 -0
- config.json +40 -0
- model.safetensors +3 -0
- runs/Apr30_09-04-55_a256-a40-06.srv.aau.dk/events.out.tfevents.1714460696.a256-a40-06.srv.aau.dk.1177277.0 +3 -0
- runs/Apr30_09-04-55_a256-a40-06.srv.aau.dk/events.out.tfevents.1714460729.a256-a40-06.srv.aau.dk.1177277.1 +3 -0
- runs/Apr30_09-07-24_a256-a40-06.srv.aau.dk/events.out.tfevents.1714460845.a256-a40-06.srv.aau.dk.1177625.0 +3 -0
- runs/Apr30_09-07-24_a256-a40-06.srv.aau.dk/events.out.tfevents.1714460885.a256-a40-06.srv.aau.dk.1177625.1 +3 -0
- runs/Apr30_09-08-54_a256-a40-06.srv.aau.dk/events.out.tfevents.1714460935.a256-a40-06.srv.aau.dk.1177944.0 +3 -0
- runs/Apr30_09-08-54_a256-a40-06.srv.aau.dk/events.out.tfevents.1714460977.a256-a40-06.srv.aau.dk.1177944.1 +3 -0
- runs/Apr30_09-15-57_a256-a40-06.srv.aau.dk/events.out.tfevents.1714461358.a256-a40-06.srv.aau.dk.1178259.0 +3 -0
- runs/Apr30_09-15-57_a256-a40-06.srv.aau.dk/events.out.tfevents.1714461400.a256-a40-06.srv.aau.dk.1178259.1 +3 -0
- runs/Apr30_09-18-27_a256-a40-06.srv.aau.dk/events.out.tfevents.1714461508.a256-a40-06.srv.aau.dk.1178883.0 +3 -0
- runs/Apr30_09-18-27_a256-a40-06.srv.aau.dk/events.out.tfevents.1714461568.a256-a40-06.srv.aau.dk.1178883.1 +3 -0
- runs/Apr30_09-26-25_a256-a40-06.srv.aau.dk/events.out.tfevents.1714461986.a256-a40-06.srv.aau.dk.1179240.0 +3 -0
- runs/Apr30_09-26-25_a256-a40-06.srv.aau.dk/events.out.tfevents.1714462017.a256-a40-06.srv.aau.dk.1179240.1 +3 -0
- runs/Apr30_09-52-25_a256-a40-06.srv.aau.dk/events.out.tfevents.1714463546.a256-a40-06.srv.aau.dk.1179669.0 +3 -0
- runs/Apr30_09-52-25_a256-a40-06.srv.aau.dk/events.out.tfevents.1714463584.a256-a40-06.srv.aau.dk.1179669.1 +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: google-bert/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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- f1
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- precision
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- recall
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model-index:
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- name: fine_tuned_mBERT
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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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# fine_tuned_mBERT
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This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1592
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- F1: 0.7805
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- F5: 0.8186
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- Precision: 0.6957
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- Recall: 0.8889
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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: 256
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- eval_batch_size: 256
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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: 8
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | F5 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------:|
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| No log | 1.0 | 6 | 0.3289 | 0.0 | 0.0 | 0.0 | 0.0 |
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| No log | 2.0 | 12 | 0.3095 | 0.0 | 0.0 | 0.0 | 0.0 |
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| No log | 3.0 | 18 | 0.2680 | 0.3636 | 0.2925 | 1.0 | 0.2222 |
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| No log | 4.0 | 24 | 0.2876 | 0.4 | 0.3424 | 0.7143 | 0.2778 |
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| No log | 5.0 | 30 | 0.2680 | 0.6087 | 0.6638 | 0.5 | 0.7778 |
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| No log | 6.0 | 36 | 0.2565 | 0.4615 | 0.4024 | 0.75 | 0.3333 |
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| No log | 7.0 | 42 | 0.2320 | 0.6341 | 0.6651 | 0.5652 | 0.7222 |
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| No log | 8.0 | 48 | 0.2251 | 0.6 | 0.5574 | 0.75 | 0.5 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.3.0a0+ebedce2
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "google-bert/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": "NO_MATCH",
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"1": "MATCH"
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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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"MATCH": 1,
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"NO_MATCH": 0
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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": "4.38.2",
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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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tokenizer.json
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tokenizer_config.json
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25 |
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"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_lower_case": false,
|
47 |
+
"mask_token": "[MASK]",
|
48 |
+
"model_max_length": 512,
|
49 |
+
"pad_token": "[PAD]",
|
50 |
+
"sep_token": "[SEP]",
|
51 |
+
"strip_accents": null,
|
52 |
+
"tokenize_chinese_chars": true,
|
53 |
+
"tokenizer_class": "BertTokenizer",
|
54 |
+
"unk_token": "[UNK]"
|
55 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:775332cd258f5ef5a9150cb35f6c09aab31c33211b13531005b25a0386937956
|
3 |
+
size 4920
|
vocab.txt
ADDED
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|
|