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--- |
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license: apache-2.0 |
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base_model: distilbert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-multilingual-cased-finetuned-email-spam |
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results: [] |
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widget: |
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- text: "From: \"Derila\" <yxboclz@dvarane.com.tr>\nX-MailFrom: \nTo: <k.a.c.michel.marre@bch.aphp.fr>\nReply-To: \"Derila\" <yxboclz@dvarane.com.tr>\nSubject: L'oreiller Derila #1 en France\"" |
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example_title: spam_1 |
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- text: "From: Disney <disney@awggcj.us>\nX-MailFrom: disney@awggcj.us\nTo: <inp-net@bde.inp-toulouse.fr>\nReply-To: \nSubject: Your 90 Day Disney PIus Membership Must Be Activated By Tomorrow" |
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example_title: spam_2 |
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- text: "From: HuIu <huiu@awaqac.net>\nX-MailFrom: huiu@awaqac.net\nTo: <inp-net@bde.inp-toulouse.fr>\nReply-To: \nSubject: Your HuIu Membership Has Ended But We Are Giving You An Extra 90 Days, Today Only" |
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example_title: spam_3 |
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- text: "From: Laurent Fainsin <laurent.fainsin@etu.inp-n7.fr>\nX-MailFrom: \nTo: net7@bde.enseeiht.fr\nReply-To: \nSubject: [net7] Fwd: Re: Demande d'un H24 net7" |
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example_title: ham_1 |
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- text: "From: <Remi.Goudin@enseeiht.fr>\nX-MailFrom: \nTo: net7@bde.enseeiht.fr\nReply-To: \nSubject: [net7] Fwd: [CERT-RENATER #84796] 2022/INCIDENT (CERTSVP20220421-21) Presence potentielle d'une version vulnerable d'instance Grafana sur grafana.thcon.party" |
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example_title: ham_2 |
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- text: "From: <net7@list.bde.enseeiht.fr>\nX-MailFrom: remi.goudin@enseeiht.fr\nTo: net7@bde.enseeiht.fr\nReply-To: <Remi.Goudin@enseeiht.fr>\nSubject: Fwd: [CERT-RENATER #94661] 2023/INCIDENT (CERTSVP20230216-25) Probable Infection par un Trojan du type Info Stealer : AveMaria Stealer depuis 147.127.160.236 / neo.bde.inp-toulouse.fr sur votre domaine enseeiht.fr" |
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example_title: ham_3 |
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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-finetuned-email-spam |
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This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset. |
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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: 1e-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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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- label_smoothing_factor: 0.1 |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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