Model overview
This model is a fine-tuned version of roberta-base on this dataset sourced from Reddit. It achieves the following results on the evaluation/validation set: - Loss: 0.1543 - Accuracy: 0.9652972367116438 - Recall: 0.966571403827834 - Precision: 0.9638169257340242 - F1: 0.9651921995935487 It achieves the following result on validation partition of this updated dataset - Loss: 0.08761 - Accuracy: 0.97065 - Recall: 0.96652 - Precision: 0.97732 - F1: 0.97189 This model is a finetune of roberta-base to detect suicidal tendencies in a given text.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。