Commit
·
c3ab726
1
Parent(s):
2530a3c
v1.0
Browse files- .gitattributes +1 -0
- README.md +90 -0
- config.json +37 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,90 @@
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---
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license: mit
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base_model: xlm-roberta-base
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metrics:
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- accuracy
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model-index:
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- name: xlm-roberta-base-fire-classification-silvanus
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results: []
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widget:
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- text: >-
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Kebakaran hutan dan lahan terus terjadi dan semakin meluas di Kota
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Palangkaraya, Kalimantan Tengah (Kalteng) pada hari Rabu, 15 Nopember 2023
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20.00 WIB. Bahkan kobaran api mulai membakar pondok warga dan mendekati
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permukiman. BZK #RCTINews #SeputariNews #News #Karhutla #KebakaranHutan
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#HutanKalimantan #SILVANUS_Italian_Pilot_Testing
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example_title: Indonesia
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- text: >-
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Wildfire rages for a second day in Evia destroying a Natura 2000 protected
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pine forest. - 5:51 PM Aug 14, 2019
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example_title: English
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- text: >-
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3 nov 2023 21:57 - Incendio forestal obliga a la evacuación de hasta 850
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personas cerca del pueblo de Montichelvo en Valencia.
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example_title: Spanish
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- text: >-
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Incendi boschivi nell'est del Paese: 2 morti e oltre 50 case distrutte nello
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stato del Queensland.
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example_title: Italian
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- text: >-
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Lesné požiare na Sicílii si vyžiadali dva ľudské životy a evakuáciu hotela
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http://dlvr.it/SwW3sC - 23. septembra 2023 20:57
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example_title: Slovak
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language:
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- id
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- en
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- es
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- it
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- sk
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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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# xlm-roberta-base-fire-classification-silvanus
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the Twitter (X) dataset based on the "forest fire" keyword.
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It achieves the following results on the evaluation set:
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- Loss: 0.5255
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- Accuracy: 0.8884
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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: 3e-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 | 233 | 0.5431 | 0.8670 |
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| No log | 2.0 | 466 | 0.5125 | 0.8670 |
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| 0.4162 | 3.0 | 699 | 0.5255 | 0.8884 |
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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": "xlm-roberta-base",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "Not Fire",
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"1": "Fire"
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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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"Fire": 1,
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"Not Fire": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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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": "4.35.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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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 sha256:9eecb4badb329c6a0b3fd0f5bb10891a1dfb974b017bc5deff78d451b0c94237
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size 1112205008
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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size 5069051
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:003498ab0695fbf35aedc8bbbae1e20a6033a1b3914e49c6d2fbe1d54d7d93b9
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size 17082786
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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": "<s>",
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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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"1": {
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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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"2": {
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"content": "</s>",
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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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"3": {
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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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"250001": {
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"content": "<mask>",
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"lstrip": true,
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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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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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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": "</s>",
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"tokenizer_class": "XLMRobertaTokenizer",
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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:e65508f39d381887777d8db4365503bc867eb211340e6a93fc4ee5532d4995fb
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size 4664
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