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Re-allow multithreading on service. Add results table

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This commit is contained in:
William Jeynes
2026-03-24 18:29:40 +00:00
parent 80bc151379
commit 624d45bc53
4 changed files with 31 additions and 18 deletions
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agent/nodes/robertaMetrics.ts
+12 -12
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@@ -16,22 +16,22 @@ export const robertaMetrics: GraphNode<typeof MessagesState> = async (state) =>
const flscore = flresult.validProb - flresult.invalidProb;
//Option 1: combining scores
// const score = lrscore * 0.3 + roscore * 0.5 + flscore * 0.3
const score = lrscore * 0.3 + roscore * 0.5 + flscore * 0.3
//Option 2: majority voting
const rovote = roscore > 0.6
const flvote = flscore > 0.94
const lrvote = lrscore > 0.75
// const rovote = roscore > 0.6
// const flvote = flscore > 0.94
// const lrvote = lrscore > 0.75
let counter = 0
if (rovote) counter++
if (flvote) counter++
if (lrvote) counter++
// let counter = 0
// if (rovote) counter++
// if (flvote) counter++
// if (lrvote) counter++
let score = 0
if (counter >= 2) {
score = 0.7 + lrscore + flscore + lrscore
}
// let score = 0
// if (counter >= 2) {
// score = 0.7 + lrscore + flscore + lrscore
// }
return {
messages: [ new AIMessage("ROBERTA:" + score)]
supporting/RAGAS_Service/README.md
+13
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@@ -0,0 +1,13 @@
| Model | % Correct | % Valid taken forward|Used in ensemble|Link
|------------------------------------------------------------|-----------|----------------------|----------------|-
| Original | 53.22 | 61.72 |
| Original (RAGAS) | 56.01 | 57.73 |
| Roberta (base) | 75 | 70 |
| Roberta (Generated Data) | 76 | 71 |
| Roberta (Generated Data + Back Translation) | 74 | 71 |
| Roberta (Generated Data + Back Translation + Thresholding) | 77 | 90 |Y|[Here](https://huggingface.co/WillJeynes/LLMsForDisinformationAnalysis)
| Distilled Roberta | 72.73 | 69.57 |
| Flan | 79.17 | 85.71 |Y|[Here](https://huggingface.co/WillJeynes/LLMsForDisinformationAnalysis-Flan)
| Simple Regression Model | 74.77 | 85.71 |Y|[Here](https://huggingface.co/WillJeynes/LLMsForDisinformationAnalysis-Regression)
| Ensemble Model (weighted confidence score sum) | 84.21 | 83.33 |
| Ensemble Model (majority voting) | 80.2 | 95.12 |
supporting/RAGAS_Service/ensemble_service.py
+5 -5
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@@ -102,6 +102,11 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
flan_model.to(device)
flan_model.eval()
label_token_ids = {
label: flan_tokenizer(label, add_special_tokens=False).input_ids[0]
for label in LABEL_TO_INT.keys()
}
def format_prompt(text: str) -> str:
return (
@@ -204,11 +209,6 @@ def evaluate(req: EvalRequest):
skip_special_tokens=True
)
label_token_ids = {
label: flan_tokenizer(label, add_special_tokens=False).input_ids[0]
for label in LABEL_TO_INT.keys()
}
label_logits = torch.tensor(
[logits[0, tid].item() for tid in label_token_ids.values()]
)
supporting/Wrapper/run.ts
+1 -1
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@@ -17,7 +17,7 @@ const AGENT_NAME = process.env.AGENT ?? "agent";
*/
const MODE = process.env.MODE ?? "claim";
const MAX_CONCURRENCY = 1;
const MAX_CONCURRENCY = 5;
const client = new Client({ apiUrl: API_URL });