ribesstefano
commited on
Commit
•
fd5593b
1
Parent(s):
ad7eddf
Training in progress, step 250, checkpoint
Browse files- last-checkpoint/README.md +204 -0
- last-checkpoint/adapter_config.json +29 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/config.json +121 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/sentencepiece.bpe.model +3 -0
- last-checkpoint/special_tokens_map.json +51 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +54 -0
- last-checkpoint/trainer_state.json +62 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
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---
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library_name: peft
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base_model: RuleBert-v0.3-k0
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.7.1
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last-checkpoint/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "RuleBert-v0.3-k0",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"value",
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"out_proj",
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"query",
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"key",
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"dense"
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],
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"task_type": "SEQ_CLS"
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}
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last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb2de1282ad540583af59d00d4787df47418120b307493f70e9e01fafd145c48
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size 8053968
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last-checkpoint/config.json
ADDED
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{
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"_name_or_path": "papluca/xlm-roberta-base-language-detection",
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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": "andamento retromarcia imputato",
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"1": "attraversamento corretto della vittima",
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"2": "attraversamento vittima con semaforo rosso",
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"3": "attraversamento vittima senza strisce o sbucata improvvisamente",
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"4": "centro abitato",
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"5": "colpo di sonno",
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"6": "eccesso verso imputato",
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"7": "eccesso verso vittima",
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"8": "fuga imputato",
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"9": "giorno",
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"10": "giovane eta imputato",
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"11": "guida brusca o manovra brusca della vittima",
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"12": "guida brusca o manovra brusca imputato",
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"13": "guida senza patente valida imputato",
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"14": "guida senza patente valida vittima",
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"15": "imputato perde controllo",
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"16": "imputato ubriaco o drogato",
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"17": "invasione corsia opposta imputato",
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"18": "lavori stradali di manutenzione",
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"19": "localita commerciale o luogo di lavoro",
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"20": "maltempo",
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"21": "mancanza cintura di sicurezza o casco vittima",
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"22": "neopat imputato",
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"23": "notte",
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"24": "ostacolo evitabile dall imputato",
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"25": "ostacolo prevedibile dall imputato",
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"26": "ostacolo prevedibile dalla vittima",
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"27": "piu imputati",
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"28": "poca illuminazione o scarsa visibilita",
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"29": "presenza rimorchio imputato",
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"30": "prossimita di un incrocio o curva",
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"31": "segnaletica non visibile o assente",
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"32": "strada a doppio senso di marcia",
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"33": "strada rovinata o bagnata",
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"34": "uso telefono alla guida",
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"35": "veicoli non abilitato a circolare o senza assicurazione imputato",
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"36": "veicoli non abilitato a circolare o senza assicurazione vittima",
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"37": "violazione stop o semaforo o codice della strada da parte della vittima",
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"38": "violazione stop o semaforo o codice della strada da parte imputato",
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"39": "vittima eta avanzata",
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"40": "vittima eta giovane",
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"41": "vittima perde controllo",
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"42": "vittima priva di giubbino e bretelle riflettenti",
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"43": "vittima ubriaca o drogata"
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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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"andamento retromarcia imputato": 0,
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